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38.109, median values: 0.25641, and quantile values: 0.25 0.062790\n0.50 0.256410\n0.75 0.944485\nName: 468, 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: 469, 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: 470, 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: 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0.20127, and quantile values: 0.25 0.052500\n0.50 0.201270\n0.75 0.879265\nName: 1258, 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: 1259, 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: 1260, 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: 1261, dtype: float64, 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quantile values: 0.25 0.055038\n0.50 0.224310\n0.75 0.913400\nName: 1268, 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: 1269, 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: 1270, 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: 1271, 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: 1272, 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: 1273, 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: 1274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093668020659749, std values: 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values: 0.20385, and quantile values: 0.25 0.064722\n0.50 0.203850\n0.75 0.854635\nName: 1465, 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: 1466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6507184761990563, std values: 4.896930085374286, min values: 1.2885e-07, max values: 37.905, median values: 0.24885, and quantile values: 0.25 0.068384\n0.50 0.248850\n0.75 1.204450\nName: 1467, 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: 1468, dtype: 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0.299850\n0.75 1.125250\nName: 1535, 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: 1536, 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: 1537, 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: 1538, dtype: float64, respectively.", "A sample with 159 features 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0.741265\nName: 1665, 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: 1666, 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: 1667, 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: 1668, dtype: float64, respectively.", "A sample with 159 features representing metab data 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median values: 0.2288, and quantile values: 0.25 0.060018\n0.50 0.228800\n0.75 0.927045\nName: 1672, 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: 1673, 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: 1674, 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: 1675, dtype: 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0.149680\n0.75 0.647175\nName: 2409, 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: 2410, 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: 2411, 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: 2412, dtype: float64, respectively.", "A sample with 159 features 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0.16350\n0.75 0.64925\nName: 2479, 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: 2480, 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: 2481, 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: 2482, dtype: float64, respectively.", "A sample with 159 features representing 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0.063675\n0.50 0.250380\n0.75 0.952000\nName: 2676, 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: 2677, 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: 2678, 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: 2679, dtype: float64, respectively.", "A sample with 159 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values: 0.27765, and quantile values: 0.25 0.07457\n0.50 0.27765\n0.75 1.12745\nName: 3073, 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: 3074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6464833845974842, std values: 5.0349177206945726, min values: 4.3273e-06, max values: 39.474, median values: 0.2656, and quantile values: 0.25 0.083569\n0.50 0.265600\n0.75 1.077550\nName: 3075, 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: 3076, dtype: 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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: 3080, 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: 3081, 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: 3082, 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 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"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: 3274, 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: 3275, 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: 3276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010685851056607, std values: 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0.229400\n0.75 0.969910\nName: 3410, 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: 3411, 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: 3412, 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: 3413, 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: 3414, 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: 3415, 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: 3416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896001947408806, std values: 4.933839081990173, min values: 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0.166360\n0.75 0.725360\nName: 3460, 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: 3461, 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: 3462, 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: 3463, dtype: float64, respectively.", "A sample with 159 features 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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: 3467, 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: 3468, 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: 3469, 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: 3470, 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: 3471, 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: 3472, 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: 3473, 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: 3474, 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: 3475, 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: 3476, 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: 3477, 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: 3478, 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: 3479, 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: 3480, 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: 3481, 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: 3482, 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: 3483, dtype: float64, respectively.", "A sample with 159 features 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median values: 0.2216, and quantile values: 0.25 0.052434\n0.50 0.221600\n0.75 0.850605\nName: 3547, 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: 3548, 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: 3549, 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: 3550, 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values: 0.1819, and quantile values: 0.25 0.045547\n0.50 0.181900\n0.75 0.996475\nName: 3737, 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: 3738, 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: 3739, 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: 3740, dtype: 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values: 0.22363, and quantile values: 0.25 0.058938\n0.50 0.223630\n0.75 0.873400\nName: 3747, 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: 3748, 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: 3749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5658306784384906, std values: 4.923303746993021, min values: 7.6922e-07, max values: 39.172, median values: 0.2906, and quantile values: 0.25 0.069496\n0.50 0.290600\n0.75 1.061150\nName: 3750, dtype: 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0.25 0.059021\n0.50 0.228810\n0.75 0.967125\nName: 3877, 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: 3878, 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: 3879, 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: 3880, dtype: float64, respectively.", "A sample 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0.748365\nName: 3947, 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: 3948, 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: 3949, 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: 3950, dtype: float64, respectively.", "A sample with 159 features representing metab data 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