Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
 Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
int64
20
1k
perc
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0
50
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logrank_test
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CoxMantel_test
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BN_GPH_test
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0
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BN_MCE_test
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143
BN_SCE_test
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0
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Q_test
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MAX_Value_test
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0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
0
99.4
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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train
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train
H1
H18
300
300
10
12
8
0.836537
-0.891467
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2.306025
2.16628
2.904509
0.836537
0.891467
0.234042
0.004376
0.281458
0.794943
0.663209
0.633932
0.899741
7,645
train
H0
H18
500
500
10
10.2
8.8
-0.946099
0.925249
1.299037
1.302532
2.206284
4.810356
1.940245
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1.299037
0.186222
1.696589
1.060764
0.855855
1.947063
1.891507
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7,645
train
H1
H18
500
500
10
7.4
11.8
3.16717
-3.200301
-2.321708
-2.323001
10.003074
13.772822
11.256998
3.16717
3.200301
0.001272
5.396334
8.321679
10.26112
0.682646
0.644708
3.222253
7,645
train
H0
H18
1,000
1,000
10
9.9
8.5
-0.607234
0.615347
0.268332
0.268292
0.862495
1.161633
0.732493
0.268292
0.615347
0.536279
0.071981
0.269813
0.378597
0.030062
0.025155
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7,645
train
H1
H18
1,000
1,000
10
9
10.3
0.535905
-0.56238
0.079429
0.079425
1.126999
0.963019
1.792056
0.535905
0.56238
0.408188
0.006308
0.049791
0.316299
0.568749
0.546693
0.565912
7,645
train
H0
H18
20
20
20
25
5
-2.383495
2.408007
1.91715
1.960603
6.280396
6.589294
6.45703
-2.383495
2.408007
0.014914
3.843962
5.123847
5.966297
0.390595
0.432017
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7,645
train
H1
H18
20
20
20
30
20
0.044373
-0.132263
0.222001
0.217468
0.305013
2.429728
0.479471
0.044373
0.222001
0.488125
0.047292
0.003637
0.017517
0.295782
0.43383
0.135864
7,645
train
H0
H18
30
30
20
16.666667
16.666667
-1.251439
1.226237
1.016873
1.016559
1.535518
2.917231
1.678557
-1.251439
1.226237
0.208562
1.033392
1.355112
1.520792
0.18729
0.136837
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7,645
train
H1
H18
30
30
20
23.333333
16.666667
0.547467
-0.634738
0.192339
0.190539
3.918628
4.172481
4.074758
0.547467
0.634738
0.13037
0.036305
0.084158
0.402763
1.427821
1.353818
0.620189
7,645
train
H0
H18
50
50
20
20
18
-1.454883
1.45872
1.296035
1.300302
2.049934
2.243331
2.138506
1.300302
1.45872
0.137933
1.690784
1.981662
2.132244
0.585062
0.623695
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7,645
train
H1
H18
50
50
20
10
24
1.226046
-1.228953
-1.074512
-1.062563
1.568733
1.624539
1.510591
1.226046
1.228953
0.210185
1.129039
1.498158
1.507137
0.292766
0.334753
1.253056
7,645
train
H0
H18
75
75
20
17.333333
21.333333
-0.022392
0.09616
-0.371981
-0.372001
1.366687
2.707431
1.034008
-0.022392
0.371981
0.438966
0.138385
0.000161
0.009232
0.654608
0.594389
-0.095973
7,645
train
H1
H18
75
75
20
17.333333
21.333333
0.176272
-0.174409
-0.026649
-0.026768
0.220329
1.330074
0.154857
-0.026768
0.174409
0.722004
0.000717
0.019872
0.030341
0.057556
0.038871
0.174918
7,645
train
H0
H18
100
100
20
20
18
0.852738
-0.948092
-0.077598
-0.077478
3.918831
4.102562
3.721227
0.852738
0.948092
0.155577
0.006003
0.435884
0.899079
0.82375
0.746869
0.96214
7,645
train
H1
H18
100
100
20
17
22
-0.5917
0.486211
1.0247
1.040549
1.575265
5.781142
1.982792
1.040549
1.0247
0.122757
1.082742
0.646403
0.236743
1.989391
2.155915
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7,645
train
H0
H18
150
150
20
23.333333
24.666667
1.378081
-1.483629
-0.680661
-0.680177
3.872049
4.030903
4.189488
1.378081
1.483629
0.123102
0.462641
1.414134
2.206612
0.192472
0.170317
1.505868
7,645
train
H1
H18
150
150
20
17.333333
25.333333
2.03512
-2.066105
-1.537424
-1.544384
5.220393
5.926469
4.936259
-1.544384
2.066105
0.036358
2.385121
3.77275
4.280323
0.268904
0.337683
2.092896
7,645
train
H0
H18
200
200
20
16.5
16
2.275177
-2.270864
-2.130944
-2.146532
5.252012
5.484683
5.229136
2.275177
2.270864
0.021799
4.607602
5.283343
5.177966
2.088814
2.07034
2.293854
7,645
train
H1
H18
200
200
20
20
19
0.608392
-0.72464
0.35766
0.357784
6.157524
7.177155
5.323822
0.608392
0.72464
0.066461
0.128009
0.161781
0.524789
2.164554
1.994516
0.735207
7,645
train
H0
H18
300
300
20
15.333333
17.666667
1.794534
-1.78625
-1.791007
-1.793184
3.399652
3.44729
3.37151
1.794534
1.791007
0.070675
3.215509
3.426797
3.193668
1.744411
1.779906
1.807557
7,645
train
H1
H18
300
300
20
22.666667
22.333333
0.219559
-0.304767
0.364837
0.364415
1.568299
3.120884
2.089137
0.364415
0.364837
0.351844
0.132799
0.000795
0.092893
1.113059
1.142863
0.309262
7,645
train
H0
H18
500
500
20
18
19.4
0.290976
-0.214205
-0.894181
-0.895262
2.781287
3.466837
2.500121
-0.895262
0.894181
0.286488
0.801494
0.202361
0.045872
2.031243
1.974524
0.217372
7,645
train
H1
H18
500
500
20
19.8
20
2.161881
-2.390508
-0.453004
-0.454023
18.282935
18.310141
18.713755
2.161881
2.390508
0.000086
0.206137
2.980851
5.724026
2.994055
2.888587
2.424142
7,645
train
H0
H18
1,000
1,000
20
20.7
21.8
0.232164
-0.201679
-0.431885
-0.431879
0.440291
1.007674
0.353724
0.232164
0.431885
0.799395
0.186519
0.06766
0.040666
0.320479
0.309713
0.204496
7,645
train
H1
H18
1,000
1,000
20
19.9
19.5
1.425704
-1.490663
-0.756302
-0.756048
3.763452
3.52166
3.802888
1.425704
1.490663
0.130606
0.571608
1.514914
2.222582
0.084753
0.069563
1.511717
7,645
train
H0
H18
20
20
30
45
20
-0.266912
0.363405
0.063532
0.067017
0.817685
1.389793
0.770671
0.067017
0.363405
0.668834
0.004491
0.061998
0.131537
0.072944
0.056202
-0.427748
7,645
train
H1
H18
20
20
30
35
20
0.025908
-0.07044
0.26494
0.262433
0.83989
1.045874
0.891975
0.262433
0.26494
0.640192
0.068871
0.006965
0.004934
0.693183
0.675379
0.057999
7,645
train
H0
H18
30
30
30
43.333333
23.333333
-0.490597
0.341588
1.004378
0.99455
2.666161
3.239758
2.82819
0.99455
1.004378
0.243146
0.98913
0.408905
0.116236
2.760704
2.797376
-0.370253
7,645
train
H1
H18
30
30
30
33.333333
30
0.776683
-0.774601
-0.479671
-0.478795
1.1867
1.419191
1.108641
0.776683
0.774601
0.418519
0.229245
0.486225
0.600667
0.019761
0.012023
0.808993
7,645
train
H0
H18
50
50
30
24
14
-0.630978
0.666484
0.197852
0.19641
1.517827
2.180992
1.283303
-0.630978
0.666484
0.500098
0.038577
0.286846
0.443124
0.161192
0.097389
-0.674335
7,645
train
H1
H18
50
50
30
36
22
0.340851
-0.405176
-0.008208
-0.008204
0.862454
0.922216
0.943348
-0.008204
0.405176
0.623957
0.000067
0.051305
0.1643
0.356883
0.343875
0.418027
7,645
train
H0
H18
75
75
30
33.333333
38.666667
1.026182
-1.020667
-0.929586
-0.930718
1.126217
1.850127
1.075488
1.026182
1.020667
0.298997
0.866237
1.066141
1.040759
0.23482
0.25845
1.038586
7,645
train
H1
H18
75
75
30
26.666667
37.333333
0.421493
-0.322192
-0.664746
-0.660849
0.761979
0.795092
0.767162
-0.660849
0.664746
0.681417
0.436721
0.200834
0.103566
0.648239
0.638575
0.334071
7,645
train
H0
H18
100
100
30
31
28
0.742466
-0.725276
-0.536597
-0.537295
0.610009
5.800563
0.821084
-0.537295
0.725276
0.121727
0.288686
0.323815
0.525869
0.002908
0.000031
0.743867
7,645
train
H1
H18
100
100
30
31
23
-0.987248
0.954899
0.932335
0.927558
1.088433
2.615092
0.972852
-0.987248
0.954899
0.326778
0.860364
1.073261
0.910381
0.400084
0.505431
-0.980624
7,645
train
H0
H18
150
150
30
30
28.666667
-0.994009
1.037876
0.752075
0.74975
0.932589
3.589038
1.220585
-0.994009
1.037876
0.286722
0.562126
0.736199
1.078609
0.049324
0.033952
-1.06534
7,645
train
H1
H18
150
150
30
26.666667
31.333333
1.906718
-1.882648
-1.810634
-1.818402
3.685717
3.785684
3.650497
-1.818402
1.882648
0.052363
3.306587
3.6646
3.548049
1.465072
1.544601
1.940141
7,645
train
H0
H18
200
200
30
34
28
-0.16081
0.017574
0.694264
0.694511
3.006179
5.603735
2.60051
0.694511
0.694264
0.132564
0.482345
0.048965
0.000309
1.899571
1.778988
-0.020052
7,645
train
H1
H18
200
200
30
27.5
29.5
0.312298
-0.305106
-0.248164
-0.247477
0.292856
4.876963
0.111013
-0.247477
0.305106
0.181031
0.061245
0.169864
0.093046
0.006039
0.023049
0.311099
7,645
train
H0
H18
300
300
30
28.333333
32
-0.572596
0.551873
0.6918
0.698252
0.668723
2.272044
0.538343
0.698252
0.6918
0.517898
0.487556
0.265255
0.304549
0.533236
0.521151
-0.56292
7,645
train
H1
H18
300
300
30
28.333333
26.666667
1.741773
-1.977174
-0.580723
-0.580324
9.55469
11.732427
10.767979
1.741773
1.977174
0.004589
0.336776
2.017282
3.917837
1.32148
1.332302
2.01592
7,645
train
H0
H18
500
500
30
28.8
28.2
-0.779562
0.769775
0.739389
0.738966
0.663946
0.799872
0.609165
-0.779562
0.769775
0.431895
0.546071
0.697606
0.592593
0.25553
0.24944
-0.785953
7,645
train
H1
H18
500
500
30
29
28.2
0.192293
-0.459305
0.880813
0.882538
8.14873
8.62131
8.555913
0.882538
0.880813
0.013871
0.778873
0.006438
0.210946
4.90758
4.874876
0.470931
7,645
train
H0
H18
1,000
1,000
30
29.3
29.3
-0.87761
1.043645
0.12523
0.125518
5.089965
6.028702
4.667643
-0.87761
1.043645
0.096925
0.015755
0.567989
1.089358
1.117916
1.077062
-1.065362
7,645
train
H1
H18
1,000
1,000
30
29.8
28.4
2.960003
-3.179435
-1.865641
-1.868953
13.660768
16.29281
14.721233
2.960003
3.179435
0.000636
3.492984
7.246502
10.123024
0.015584
0.021708
3.254525