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0.19365, and quantile values: 0.25 0.044861\n0.50 0.193650\n0.75 0.724490\nName: 931, 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: 932, 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: 933, 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: 934, dtype: float64, 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values: 0.18102, and quantile values: 0.25 0.051215\n0.50 0.181020\n0.75 0.774670\nName: 1268, 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: 1269, 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: 1270, 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: 1271, dtype: 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0.247970\n0.75 0.894560\nName: 1728, 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: 1729, 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: 1730, 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: 1731, dtype: float64, respectively.", "A sample with 159 features 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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: 1795, 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: 1796, 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: 1797, 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: 1798, 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: 1799, 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: 1800, 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: 1801, dtype: float64, respectively.", "A sample with 159 features 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0.197950\n0.75 0.772090\nName: 1995, 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: 1996, 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: 1997, 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: 1998, dtype: float64, respectively.", "A sample with 159 features 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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: 2336, 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: 2337, 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: 2338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2266824230498112, std values: 4.6321773457199065, min values: 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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: 2736, 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: 2737, 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: 2738, 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 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0.25 0.053179\n0.50 0.148470\n0.75 0.626135\nName: 2869, 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: 2870, 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: 2871, 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: 2872, dtype: float64, respectively.", "A sample with 159 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0.211980\n0.75 0.893055\nName: 2999, 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: 3000, 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: 3001, 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: 3002, 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: 3003, 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: 3004, 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: 3005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457563914603776, std values: 4.9456192813436965, min values: 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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: 3056, 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: 3057, 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: 3058, 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: 3059, 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: 3060, 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: 3061, 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: 3062, 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: 3063, 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: 3064, 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: 3065, 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: 3066, 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: 3067, 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: 3068, 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: 3069, 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: 3070, 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: 3071, 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: 3072, dtype: float64, respectively.", "A sample with 159 features 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0.201040\n0.75 0.885175\nName: 3129, 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: 3130, 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: 3131, 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: 3132, dtype: float64, respectively.", "A sample with 159 features 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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: 3136, 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: 3137, 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: 3138, 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 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38.987, median values: 0.19153, and quantile values: 0.25 0.052891\n0.50 0.191530\n0.75 0.752215\nName: 3196, 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: 3197, 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: 3198, 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: 3199, 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: 3200, 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: 3201, 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: 3202, dtype: float64, respectively.", "A sample with 159 features representing metab data with 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0.944690\nName: 3456, 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: 3457, 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: 3458, 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: 3459, dtype: float64, respectively.", "A sample with 159 features representing metab 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38.368, median values: 0.13649, and quantile values: 0.25 0.043585\n0.50 0.136490\n0.75 0.584110\nName: 3463, 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: 3464, 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: 3465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5653825344465409, std values: 5.032753040585646, min values: 2.984e-06, max values: 40.717, median values: 0.24673, and quantile values: 0.25 0.080206\n0.50 0.246730\n0.75 1.008695\nName: 3466, 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: 3467, 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: 3468, 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: 3469, 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: 3470, 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: 3471, 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: 3472, 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 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0.284030\n0.75 1.085800\nName: 3723, 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: 3724, 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: 3725, 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: 3726, 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: 3727, 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: 3728, 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: 3729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5482999838572329, std values: 4.904431652888498, min values: 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0.864445\nName: 3733, 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: 3734, 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: 3735, 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: 3736, 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: 3737, 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: 3738, 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: 3739, 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: 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3743, 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: 3744, 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: 3745, 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: 3746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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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: 3787, 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: 3788, 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: 3789, 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: 3790, 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: 3791, 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: 3792, 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: 3793, dtype: float64, respectively.", "A sample with 159 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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: 3797, 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: 3798, 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: 3799, 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: 3800, 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: 3801, 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: 3802, 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: 3803, dtype: float64, respectively.", "A sample with 159 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values: 0.20304, and quantile values: 0.25 0.061222\n0.50 0.203040\n0.75 0.825925\nName: 3867, 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: 3868, 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: 3869, 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: 3870, 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: 3871, 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: 3872, 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: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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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: 3934, 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: 3935, 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: 3936, 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: 3937, 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: 3938, 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: 3939, 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: 3940, dtype: float64, respectively.", "A sample with 159 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0.967025\nName: 3987, 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: 3988, 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: 3989, 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: 3990, dtype: float64, respectively.", "A sample with 159 features representing metab 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0.898700\nName: 3997, 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: 3998, 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: 3999, 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: 4000, dtype: float64, respectively.", "A sample with 159 features representing metab 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values: 44.686, median values: 0.21314, and quantile values: 0.25 0.063004\n0.50 0.213140\n0.75 0.938805\nName: 4004, 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: 4005, 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: 4006, 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 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0.204000\n0.75 0.777115\nName: 4471, 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: 4472, 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: 4473, 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: 4474, dtype: float64, respectively.", "A sample with 159 features representing 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0.061342\n0.50 0.192030\n0.75 0.786335\nName: 4668, 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: 4669, 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: 4670, 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: 4671, dtype: float64, respectively.", "A sample with 159 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40.617, median values: 0.27405, and quantile values: 0.25 0.074435\n0.50 0.274050\n0.75 1.155100\nName: 4785, 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: 4786, 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: 4787, 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: 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0.28217, and quantile values: 0.25 0.086982\n0.50 0.282170\n0.75 1.111400\nName: 4805, 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: 4806, 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: 4807, 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: 4808, dtype: float64, 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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: 4862, 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: 4863, 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: 4864, 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: 4865, 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: 4866, 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: 4867, 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: 4868, dtype: float64, respectively.", "A 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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: 4872, 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: 4873, 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: 4874, 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 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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: 4939, 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: 4940, 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: 4941, 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 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0.261660\n0.75 0.975015\nName: 5736, 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: 5737, 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: 5738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4410042359157231, std values: 4.936382527830911, min values: 1.9099e-06, max values: 39.378, median values: 0.21108, and quantile values: 0.25 0.063425\n0.50 0.211080\n0.75 0.803470\nName: 5739, 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: 5740, 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: 5741, 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: 5742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6152985952627674, std values: 5.02354973918205, min values: 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0.250610\n0.75 1.007375\nName: 5806, 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: 5807, 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: 5808, 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: 5809, dtype: float64, respectively.", "A sample with 159 features 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44.323, median values: 0.28282, and quantile values: 0.25 0.082804\n0.50 0.282820\n0.75 1.228250\nName: 5853, 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: 5854, 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: 5855, 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: 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0.25198, and quantile values: 0.25 0.064219\n0.50 0.251980\n0.75 0.897270\nName: 5863, 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: 5864, 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: 5865, 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: 5866, dtype: float64, 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quantile values: 0.25 0.07637\n0.50 0.24441\n0.75 1.02220\nName: 5873, 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: 5874, 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: 5875, 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: 5876, dtype: float64, respectively.", 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0.25 0.064676\n0.50 0.206680\n0.75 0.898410\nName: 5933, 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: 5934, 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: 5935, 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: 5936, dtype: float64, respectively.", "A sample 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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: 5940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5978495969144657, std values: 4.995460233552959, min values: 1.595e-06, max values: 39.113, median values: 0.22294, and quantile values: 0.25 0.06764\n0.50 0.22294\n0.75 1.02455\nName: 5941, 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: 5942, 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: 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0.185060\n0.75 0.868720\nName: 6003, 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: 6004, 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: 6005, 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: 6006, 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: 6007, 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: 6008, 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: 6009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5325372689025156, std values: 5.052225645322034, min values: 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0.836720\nName: 6063, 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: 6064, 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: 6065, 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: 6066, dtype: float64, respectively.", "A sample with 159 features representing metab data 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40.547, median values: 0.22209, and quantile values: 0.25 0.065142\n0.50 0.222090\n0.75 0.687050\nName: 6070, 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: 6071, 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: 6072, 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: 6073, 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: 6074, 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: 6075, 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: 6076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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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: 6534, 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: 6535, 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: 6536, 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: 6537, 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: 6538, 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: 6539, 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: 6540, 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: 6541, 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: 6542, 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: 6543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4833814540469117, std values: 4.68667434158382, min values: 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median values: 0.26719, and quantile values: 0.25 0.077258\n0.50 0.267190\n0.75 0.945890\nName: 6604, 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: 6605, 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: 6606, 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: 6607, 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: 6608, 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: 6609, 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: 6610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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0.157060\n0.75 0.671350\nName: 6724, 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: 6725, 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: 6726, 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: 6727, 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: 6728, 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: 6729, 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: 6730, 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: 6731, 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: 6732, 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: 6733, 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: 6734, 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: 6735, 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: 6736, 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: 6737, 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: 6738, 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: 6739, 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: 6740, 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: 6741, 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: 6742, 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: 6743, 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 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44.255, median values: 0.18236, and quantile values: 0.25 0.044034\n0.50 0.182360\n0.75 0.973415\nName: 6801, 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: 6802, 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: 6803, 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: 6804, 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: 6805, 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: 6806, 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: 6807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.25 0.05565\n0.50 0.20295\n0.75 0.84783\nName: 6941, 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: 6942, 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: 6943, 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: 6944, dtype: float64, respectively.", "A sample with 159 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43.136, median values: 0.2811, and quantile values: 0.25 0.085385\n0.50 0.281100\n0.75 1.105900\nName: 7008, 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: 7009, 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: 7010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8746371482761008, std values: 5.155106485711137, min values: 2.3e-06, max values: 39.349, median values: 0.33746, and quantile values: 0.25 0.10546\n0.50 0.33746\n0.75 1.39510\nName: 7011, 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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: 7469, 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: 7470, 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: 7471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7501408231320756, std values: 5.13347043516983, min values: 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0.367720\n0.75 1.375650\nName: 7475, 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: 7476, 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: 7477, 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: 7478, dtype: float64, respectively.", "A sample with 159 features 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0.240350\n0.75 0.868565\nName: 7535, 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: 7536, 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: 7537, 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: 7538, 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: 7539, 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: 7540, 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: 7541, 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: 7542, 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: 7543, 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: 7544, 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 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median values: 0.22145, and quantile values: 0.25 0.060757\n0.50 0.221450\n0.75 0.894040\nName: 7602, 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: 7603, 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: 7604, 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: 7605, 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0.093573\n0.50 0.325160\n0.75 1.354400\nName: 7802, 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: 7803, 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: 7804, 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: 7805, dtype: float64, respectively.", "A sample with 159 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0.221380\n0.75 0.868975\nName: 7852, 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: 7853, 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: 7854, 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: 7855, 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: 7856, 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: 7857, 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: 7858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5594997306270442, std values: 4.954748564572597, min values: 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0.272510\n0.75 1.112250\nName: 7862, 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: 7863, 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: 7864, 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: 7865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4619822750484277, std values: 4.826311493292253, min values: 4.5975e-06, max values: 40.573, median values: 0.22662, and quantile values: 0.25 0.062892\n0.50 0.226620\n0.75 0.856700\nName: 7866, 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: 7867, 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: 7868, 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: 7869, 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: 7870, 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: 7871, 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: 7872, 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: 7873, 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: 7874, 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: 7875, 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: 7876, 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: 7877, 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: 7878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2692682409377358, std values: 4.804032771478241, min values: 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39.144, median values: 0.25749, and quantile values: 0.25 0.064356\n0.50 0.257490\n0.75 1.044400\nName: 7909, 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: 7910, 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: 7911, 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: 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quantile values: 0.25 0.072478\n0.50 0.258710\n0.75 1.031190\nName: 7929, 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: 7930, 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: 7931, 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: 7932, dtype: float64, respectively.", "A 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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: 7936, 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: 7937, 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: 7938, 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: 7939, 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: 7940, 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: 7941, 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: 7942, 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: 7943, 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: 7944, 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: 7945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3733795070735222, std values: 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0.168760\n0.75 0.744000\nName: 8009, 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: 8010, 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: 8011, 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: 8012, dtype: float64, respectively.", "A sample with 159 features 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42.923, median values: 0.27538, and quantile values: 0.25 0.074978\n0.50 0.275380\n0.75 0.990335\nName: 8056, 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: 8057, 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: 8058, 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: 8059, 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: 8060, 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: 8061, 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: 8062, dtype: float64, respectively.", "A sample with 159 features representing metab 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values: 40.074, median values: 0.25558, and quantile values: 0.25 0.070434\n0.50 0.255580\n0.75 1.101500\nName: 8066, 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: 8067, 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: 8068, 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: 8069, 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: 8070, 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: 8071, 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: 8072, 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: 8073, 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: 8074, 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: 8075, 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: 8076, 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: 8077, 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: 8078, 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: 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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: 8657, 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: 8658, 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: 8659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3826095714484905, std values: 4.631957221245151, min values: 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0.196540\n0.75 0.734640\nName: 8663, 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: 8664, 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: 8665, 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: 8666, 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: 8667, 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: 8668, 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: 8669, 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: 8670, 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: 8671, 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: 8672, 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: 8673, 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: 8674, 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: 8675, 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: 8676, 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: 8677, 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: 8678, 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: 8679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047054306276731, std values: 5.190264383127893, min values: 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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: 8737, 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: 8738, 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: 8739, 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: 8740, 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: 8741, 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: 8742, 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: 8743, 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: 8744, 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: 8745, 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: 8746, 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: 8747, 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: 8748, 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: 8749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7264323686515721, std values: 5.070320358361687, min values: 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values: 37.427, median values: 0.13808, and quantile values: 0.25 0.046129\n0.50 0.138080\n0.75 0.598415\nName: 8800, 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: 8801, 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: 8802, 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: 8803, 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: 8804, 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: 8805, 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: 8806, dtype: float64, respectively.", "A sample with 159 features representing metab 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values: 39.209, median values: 0.20652, and quantile values: 0.25 0.060996\n0.50 0.206520\n0.75 0.913425\nName: 8810, 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: 8811, 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: 8812, 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 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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: 8864, 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: 8865, 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: 8866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.21293, and quantile values: 0.25 0.062704\n0.50 0.212930\n0.75 0.890750\nName: 8870, 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: 8871, 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: 8872, 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: 8873, 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: 8874, 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: 8875, 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: 8876, 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: 8877, 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: 8878, 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: 8879, 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 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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: 8937, 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: 8938, 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: 8939, 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: 8940, 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: 8941, 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: 8942, 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: 8943, dtype: float64, respectively.", "A 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38.263, median values: 0.2133, and quantile values: 0.25 0.052077\n0.50 0.213300\n0.75 0.889670\nName: 8997, 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: 8998, 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: 8999, 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: 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median values: 0.16098, and quantile values: 0.25 0.050102\n0.50 0.160980\n0.75 0.714785\nName: 9007, 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: 9008, 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: 9009, 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: 9010, 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: 9011, 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: 9012, 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: 9013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.20761, and quantile values: 0.25 0.058017\n0.50 0.207610\n0.75 0.776605\nName: 9067, 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: 9068, 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: 9069, 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: 9070, dtype: 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values: 0.17055, and quantile values: 0.25 0.046314\n0.50 0.170550\n0.75 0.746270\nName: 9077, 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: 9078, 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: 9079, 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: 9080, dtype: 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0.061076\n0.50 0.208460\n0.75 0.905025\nName: 9454, 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: 9455, 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: 9456, 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: 9457, dtype: float64, respectively.", "A sample with 159 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0.226630\n0.75 0.921340\nName: 9464, 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: 9465, 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: 9466, 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: 9467, 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: 9468, 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: 9469, 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: 9470, 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: 9471, 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: 9472, 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: 9473, 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: 9474, 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: 9475, 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: 9476, 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: 9477, 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: 9478, 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: 9479, 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: 9480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.250215134385849, std values: 4.7478822255083735, min values: 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1.042750\nName: 9544, 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: 9545, 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: 9546, 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: 9547, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.056491\n0.50 0.206980\n0.75 0.828455\nName: 9788, 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: 9789, 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: 9790, 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: 9791, dtype: float64, respectively.", "A sample with 159 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0.052901\n0.50 0.173680\n0.75 0.667590\nName: 9798, 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: 9799, 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: 9800, 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: 9801, dtype: float64, respectively.", "A sample with 159 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0.237200\n0.75 0.926180\nName: 9808, 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: 9809, 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: 9810, 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: 9811, dtype: float64, respectively.", "A sample with 159 features 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0.260860\n0.75 1.005255\nName: 9868, 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: 9869, 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: 9870, 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: 9871, 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: 9872, 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: 9873, 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: 9874, 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: 9875, 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: 9876, 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: 9877, 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: 9878, 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: 9879, 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: 9880, 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: 9881, dtype: float64, respectively.", "A sample with 159 features 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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: 9932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420267325534591, std values: 4.8890912979606025, min values: 1.8635e-06, max values: 39.47, median values: 0.18747, and quantile values: 0.25 0.06086\n0.50 0.18747\n0.75 0.74772\nName: 9933, 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: 9934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4494422842471697, std values: 4.877576601119712, min values: 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0.215280\n0.75 0.994925\nName: 9938, 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: 9939, 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: 9940, 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: 9941, 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: 9942, 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: 9943, 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: 9944, 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: 9945, 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: 9946, 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: 9947, 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 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0.766165\nName: 9998, 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: 9999, 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: 10000, 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: 10001, dtype: float64, respectively.", "A sample with 159 features representing metab data 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values: 39.222, median values: 0.20522, and quantile values: 0.25 0.062148\n0.50 0.205220\n0.75 0.854515\nName: 10005, 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: 10006, 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: 10007, 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: 10008, 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: 10009, 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: 10010, 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: 10011, 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: 10012, 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: 10013, 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: 10014, 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 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0.813290\nName: 10078, 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: 10079, 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: 10080, 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: 10081, dtype: float64, respectively.", "A sample with 159 features representing 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0.076369\n0.50 0.311620\n0.75 1.297500\nName: 10098, 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: 10099, 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: 10100, 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: 10101, dtype: float64, respectively.", "A sample with 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values: 0.25 0.050798\n0.50 0.175210\n0.75 0.819675\nName: 10108, 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: 10109, 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: 10110, 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: 10111, dtype: float64, respectively.", "A 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values: 0.25 0.057320\n0.50 0.188100\n0.75 0.795565\nName: 10118, 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: 10119, 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: 10120, 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: 10121, dtype: float64, respectively.", "A 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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: 10125, 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: 10126, 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: 10127, 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: 10128, 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: 10129, 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: 10130, 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: 10131, 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: 10132, 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: 10133, 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: 10134, 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: 10135, 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: 10136, 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: 10137, 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: 10138, 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: 10139, 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: 10140, 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: 10141, 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: 10142, 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: 10143, 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: 10144, 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: 10145, 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: 10146, 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: 10147, 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: 10148, 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: 10149, 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: 10150, 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: 10151, 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: 10152, 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: 10153, 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: 10154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8363435125893082, std values: 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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: 10172, 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: 10173, 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: 10174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3584379254849686, std values: 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"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: 10182, 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: 10183, 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: 10184, 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: 10185, 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: 10186, 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: 10187, 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: 10188, 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: 10189, 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: 10190, 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: 10191, dtype: float64, respectively.", "A 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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: 10195, 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: 10196, 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: 10197, 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: 10198, 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: 10199, 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: 10200, 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: 10201, dtype: float64, respectively.", "A 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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: 10205, 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: 10206, 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: 10207, 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: 10208, 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: 10209, 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: 10210, 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: 10211, 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: 10212, 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: 10213, 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: 10214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1212263104308178, std values: 4.431155844494899, 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values: 0.25 0.081127\n0.50 0.283410\n0.75 1.149750\nName: 10338, 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: 10339, 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: 10340, 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: 10341, dtype: float64, respectively.", "A 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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: 10345, 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: 10346, 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: 10347, 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 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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: 10412, 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: 10413, 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: 10414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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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: 10472, 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: 10473, 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: 10474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.26915, and quantile values: 0.25 0.074523\n0.50 0.269150\n0.75 1.087200\nName: 10478, 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: 10479, 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: 10480, 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: 10481, 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37.641, median values: 0.21386, and quantile values: 0.25 0.060004\n0.50 0.213860\n0.75 1.042450\nName: 10538, 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: 10539, 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: 10540, 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 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0.804330\nName: 10611, 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: 10612, 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: 10613, 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: 10614, dtype: float64, respectively.", "A sample with 159 features representing 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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: 10668, 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: 10669, 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: 10670, 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: 10671, 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: 10672, 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: 10673, 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: 10674, 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: 10675, 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: 10676, 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: 10677, 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: 10678, 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: 10679, 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: 10680, 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 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values: 0.25 0.052976\n0.50 0.213640\n0.75 0.787450\nName: 10741, 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: 10742, 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: 10743, 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: 10744, dtype: float64, respectively.", "A 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0.25 0.045235\n0.50 0.190000\n0.75 0.735385\nName: 10801, 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: 10802, 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: 10803, 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: 10804, dtype: float64, respectively.", "A sample 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values: 0.25 0.039571\n0.50 0.124060\n0.75 0.612635\nName: 10821, 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: 10822, 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: 10823, 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: 10824, 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: 10825, 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: 10826, 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: 10827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541782249534761, std values: 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values: 0.25 0.052114\n0.50 0.175580\n0.75 0.822690\nName: 10831, 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: 10832, 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: 10833, 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: 10834, 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: 10835, 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: 10836, 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: 10837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5756147805459118, std values: 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values: 0.25 0.05432\n0.50 0.18872\n0.75 0.73854\nName: 10841, 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: 10842, 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: 10843, 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: 10844, 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: 10845, 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: 10846, 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: 10847, 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: 10848, 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: 10849, 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: 10850, 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: 10851, 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: 10852, 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: 10853, 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: 10854, 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: 10855, 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: 10856, 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: 10857, 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: 10858, 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: 10859, 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: 10860, 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: 10861, 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: 10862, 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: 10863, 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: 10864, 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: 10865, 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: 10866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4605530891245282, std values: 5.054961232699333, min values: 2.4575e-06, max values: 41.426, median values: 0.20556, and quantile values: 0.25 0.061056\n0.50 0.205560\n0.75 0.864995\nName: 10867, 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: 10868, 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: 10869, 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: 10870, 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: 10871, 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: 10872, 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: 10873, 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: 10874, 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: 10875, 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: 10876, 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: 10877, 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: 10878, 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: 10879, 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: 10880, 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: 10881, 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: 10882, 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: 10883, 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: 10884, dtype: float64, respectively.", "A 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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: 10928, 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: 10929, 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: 10930, 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: 10931, 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: 10932, 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: 10933, 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: 10934, 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: 10935, 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: 10936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423968202522014, std values: 4.912747742718387, min values: 2.4164e-06, max values: 39.249, median values: 0.24576, and quantile values: 0.25 0.066725\n0.50 0.245760\n0.75 0.998170\nName: 10937, 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: 10938, 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: 10939, 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: 10940, 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: 10941, 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: 10942, 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: 10943, 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: 10944, 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: 10945, 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: 10946, 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: 10947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2421327314978805, std values: 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values: 0.25 0.078825\n0.50 0.255770\n0.75 1.011810\nName: 11051, 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: 11052, 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: 11053, 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: 11054, dtype: float64, respectively.", "A 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values: 0.25 0.07369\n0.50 0.25215\n0.75 0.99200\nName: 11061, 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: 11062, 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: 11063, 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: 11064, dtype: float64, respectively.", "A 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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: 11068, 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: 11069, 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: 11070, 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: 11071, 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: 11072, 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: 11073, 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: 11074, 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: 11075, 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: 11076, 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: 11077, 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: 11078, 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: 11079, 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: 11080, 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 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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: 11138, 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: 11139, 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: 11140, 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: 11141, 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: 11142, 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: 11143, 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: 11144, dtype: float64, respectively.", "A 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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: 11208, 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: 11209, 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: 11210, 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: 11211, 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: 11212, 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: 11213, 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: 11214, 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: 11215, 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: 11216, 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: 11217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080527405967924, std values: 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values: 0.25 0.053949\n0.50 0.185750\n0.75 0.736435\nName: 11231, 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: 11232, 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: 11233, 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: 11234, dtype: float64, respectively.", "A 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values: 0.25 0.063626\n0.50 0.234290\n0.75 0.811685\nName: 11251, 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: 11252, 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: 11253, 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: 11254, dtype: float64, respectively.", "A 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values: 0.25 0.050224\n0.50 0.230840\n0.75 0.796825\nName: 11261, 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: 11262, 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: 11263, 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: 11264, dtype: float64, respectively.", "A 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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: 11268, 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: 11269, 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: 11270, 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: 11271, 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: 11272, 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: 11273, 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: 11274, 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: 11275, 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: 11276, 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: 11277, 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: 11278, 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: 11279, 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: 11280, 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: 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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: 11305, 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: 11306, 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: 11307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4681572043679247, std values: 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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: 11315, 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: 11316, 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: 11317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.655583232641195, std values: 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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: 11325, 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: 11326, 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: 11327, 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: 11328, 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: 11329, 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: 11330, 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: 11331, 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: 11332, 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: 11333, 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: 11334, 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: 11335, 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: 11336, 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: 11337, 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: 11338, 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: 11339, 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: 11340, 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: 11341, 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: 11342, 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: 11343, 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: 11344, 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: 11345, 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: 11346, 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: 11347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7635664817805032, std values: 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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: 11408, 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: 11409, 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: 11410, 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: 11411, 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: 11412, 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: 11413, 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: 11414, dtype: float64, respectively.", "A 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"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: 11525, 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: 11526, 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: 11527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6109428957727676, std values: 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0.25 0.063958\n0.50 0.222630\n0.75 0.869650\nName: 11531, 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: 11532, 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: 11533, 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: 11534, dtype: float64, respectively.", "A 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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: 11538, 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: 11539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4215092445220123, std values: 4.727374684357082, min values: 1.4222e-06, max values: 38.365, median values: 0.20347, and quantile values: 0.25 0.060654\n0.50 0.203470\n0.75 0.916055\nName: 11540, 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: 11541, 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: 11542, 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: 11543, 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: 11544, 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: 11545, 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: 11546, 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: 11547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940656220603773, std values: 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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: 11608, 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: 11609, 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: 11610, 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: 11611, 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: 11612, 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: 11613, 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: 11614, 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: 11615, 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: 11616, 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: 11617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4153440337968555, std values: 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values: 0.25 0.059348\n0.50 0.186780\n0.75 0.714560\nName: 11631, 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: 11632, 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: 11633, 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: 11634, 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: 11635, 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: 11636, 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: 11637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478177515814717, std values: 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values: 0.25 0.076381\n0.50 0.257900\n0.75 1.041865\nName: 11651, 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: 11652, 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: 11653, 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: 11654, dtype: float64, respectively.", "A 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0.25 0.054702\n0.50 0.191740\n0.75 0.731305\nName: 11661, 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: 11662, 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: 11663, 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: 11664, 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: 11665, 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: 11666, 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: 11667, 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: 11668, 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: 11669, 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: 11670, 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: 11671, 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: 11672, 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: 11673, 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: 11674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5926111720578615, std values: 5.206531413697387, min values: 2.3528e-06, max values: 43.825, median values: 0.23617, and quantile values: 0.25 0.073172\n0.50 0.236170\n0.75 0.947660\nName: 11675, 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: 11676, 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: 11677, 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: 11678, 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: 11679, 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: 11680, 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: 11681, 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: 11682, 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: 11683, 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: 11684, 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: 11685, 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: 11686, 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: 11687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3167374176106919, std values: 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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: 11695, 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: 11696, 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: 11697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460779722465408, std values: 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values: 0.25 0.062921\n0.50 0.247380\n0.75 0.988645\nName: 11711, 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: 11712, 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: 11713, 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: 11714, 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: 11715, 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: 11716, 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: 11717, 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: 11718, 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: 11719, 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: 11720, 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: 11721, 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: 11722, 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: 11723, 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: 11724, 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: 11725, 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: 11726, 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: 11727, 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: 11728, 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: 11729, 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: 11730, 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: 11731, 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: 11732, 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: 11733, 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: 11734, 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: 11735, 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: 11736, 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: 11737, 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: 11738, 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: 11739, 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: 11740, 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: 11741, 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: 11742, 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: 11743, 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: 11744, 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: 11745, 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: 11746, 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: 11747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5772020667886792, std values: 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values: 0.25 0.071766\n0.50 0.248060\n0.75 1.028000\nName: 11751, 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: 11752, 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: 11753, 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: 11754, dtype: float64, respectively.", "A 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values: 0.25 0.081656\n0.50 0.301330\n0.75 1.054050\nName: 11771, 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: 11772, 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: 11773, 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: 11774, 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: 11775, 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: 11776, 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: 11777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912269516182391, std values: 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values: 0.25 0.054207\n0.50 0.195810\n0.75 0.854315\nName: 11781, 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: 11782, 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: 11783, 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: 11784, 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: 11785, 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: 11786, 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: 11787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678749581062892, std values: 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values: 0.25 0.054867\n0.50 0.195030\n0.75 0.719890\nName: 11791, 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: 11792, 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: 11793, 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: 11794, dtype: float64, respectively.", "A 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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: 11798, 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: 11799, 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: 11800, 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: 11801, 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: 11802, 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: 11803, 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: 11804, 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: 11805, 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: 11806, 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: 11807, 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: 11808, 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: 11809, 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: 11810, 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: 11811, 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: 11812, 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: 11813, 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: 11814, 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: 11815, 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: 11816, 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: 11817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873802015597484, std values: 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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: 11878, 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: 11879, 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: 11880, 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 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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: 11895, 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: 11896, 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: 11897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656204308079434, std values: 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values: 0.25 0.062106\n0.50 0.204670\n0.75 0.974405\nName: 11901, 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: 11902, 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: 11903, 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: 11904, dtype: float64, respectively.", "A sample 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values: 0.25 0.046373\n0.50 0.200530\n0.75 0.815805\nName: 11911, 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: 11912, 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: 11913, 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: 11914, 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: 11915, 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: 11916, 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: 11917, 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: 11918, 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: 11919, 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: 11920, 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: 11921, 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: 11922, 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: 11923, 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: 11924, 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: 11925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502828793126415, std values: 4.8568536959973505, min values: 2.378e-06, max values: 38.942, median values: 0.22557, and quantile values: 0.25 0.067444\n0.50 0.225570\n0.75 0.950350\nName: 11926, 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: 11927, 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: 11928, 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: 11929, 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: 11930, 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: 11931, 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: 11932, 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: 11933, 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: 11934, 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: 11935, 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: 11936, 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: 11937, 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: 11938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911259905165285, std values: 4.68685742556033, min values: 2.4411e-08, max values: 37.587, median values: 0.14886, and quantile values: 0.25 0.031886\n0.50 0.148860\n0.75 0.728060\nName: 11939, 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: 11940, 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: 11941, 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: 11942, 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: 11943, 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: 11944, 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: 11945, 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: 11946, 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: 11947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6085026977710692, std values: 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values: 0.25 0.071860\n0.50 0.274780\n0.75 0.925455\nName: 12011, 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: 12012, 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: 12013, 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: 12014, dtype: float64, respectively.", "A 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values: 0.25 0.066272\n0.50 0.234130\n0.75 0.946240\nName: 12041, 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: 12042, 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: 12043, 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: 12044, dtype: float64, respectively.", "A 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values: 0.25 0.062705\n0.50 0.195460\n0.75 0.849780\nName: 12051, 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: 12052, 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: 12053, 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: 12054, dtype: float64, respectively.", "A 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values: 0.25 0.098533\n0.50 0.340280\n0.75 1.346500\nName: 12061, 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: 12062, 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: 12063, 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: 12064, dtype: float64, respectively.", "A 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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: 12068, 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: 12069, 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: 12070, 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: 12071, 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: 12072, 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: 12073, 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: 12074, 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: 12075, 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: 12076, 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: 12077, 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: 12078, 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: 12079, 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: 12080, 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 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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: 12268, 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: 12269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2081515421735847, std values: 4.6425499751581984, min values: 3.4849e-06, max values: 40.537, median values: 0.13495, and quantile values: 0.25 0.05096\n0.50 0.13495\n0.75 0.46840\nName: 12270, 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: 12271, 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: 12272, 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: 12273, 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: 12274, dtype: float64, respectively.", "A 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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: 12278, 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: 12279, 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: 12280, 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 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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: 12338, 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: 12339, 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: 12340, 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: 12341, 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: 12342, 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: 12343, 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: 12344, dtype: float64, respectively.", "A 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values: 0.25 0.079572\n0.50 0.272340\n0.75 1.068000\nName: 12471, 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: 12472, 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: 12473, 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: 12474, dtype: float64, respectively.", "A 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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: 12478, 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: 12479, 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: 12480, 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 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values: 0.25 0.079476\n0.50 0.239930\n0.75 0.935910\nName: 12531, 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: 12532, 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: 12533, 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: 12534, 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: 12535, 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: 12536, 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: 12537, 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: 12538, 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: 12539, 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: 12540, 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: 12541, 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: 12542, 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: 12543, 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: 12544, 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: 12545, 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: 12546, 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: 12547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526262804481132, std values: 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values: 0.25 0.060937\n0.50 0.289520\n0.75 1.223550\nName: 12611, 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: 12612, 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: 12613, 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: 12614, dtype: float64, respectively.", "A 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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: 12678, 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: 12679, 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: 12680, 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 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values: 0.25 0.066776\n0.50 0.223660\n0.75 0.826750\nName: 12741, 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: 12742, 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: 12743, 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: 12744, dtype: float64, respectively.", "A 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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: 12928, 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: 12929, 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: 12930, 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 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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: 12935, 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: 12936, 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: 12937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5159031134446546, std values: 5.1172654232971295, min values: 2.4737e-06, max values: 41.718, median values: 0.24017, and quantile values: 0.25 0.071907\n0.50 0.240170\n0.75 0.892275\nName: 12938, 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: 12939, 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: 12940, 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: 12941, 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: 12942, 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: 12943, 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: 12944, 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: 12945, 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: 12946, 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: 12947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608910541727044, std values: 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values: 0.25 0.083176\n0.50 0.247130\n0.75 0.999965\nName: 13071, 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: 13072, 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: 13073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5849246561433963, std values: 5.148729731854378, min values: 2.2458e-06, max values: 41.429, median values: 0.24815, and quantile values: 0.25 0.069536\n0.50 0.248150\n0.75 0.994535\nName: 13074, dtype: float64, respectively.", "A 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values: 0.25 0.062684\n0.50 0.190270\n0.75 0.802025\nName: 13231, 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: 13232, 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: 13233, 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: 13234, dtype: float64, respectively.", "A 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values: 0.25 0.074975\n0.50 0.242590\n0.75 1.015535\nName: 13241, 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: 13242, 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: 13243, 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: 13244, dtype: float64, respectively.", "A 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values: 0.25 0.066917\n0.50 0.236830\n0.75 0.900685\nName: 13251, 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: 13252, 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: 13253, 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: 13254, dtype: float64, respectively.", "A 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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: 13258, 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: 13259, 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: 13260, 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: 13261, 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: 13262, 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: 13263, 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: 13264, dtype: float64, respectively.", "A sample with 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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: 13268, 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: 13269, 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: 13270, 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: 13271, 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: 13272, 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: 13273, 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: 13274, 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: 13275, 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: 13276, 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: 13277, 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: 13278, 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: 13279, 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: 13280, 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 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values: 0.25 0.083157\n0.50 0.295130\n0.75 1.153300\nName: 13341, 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: 13342, 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: 13343, 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: 13344, dtype: float64, respectively.", "A 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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: 13408, 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: 13409, 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: 13410, 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: 13411, 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: 13412, 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: 13413, 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: 13414, dtype: float64, respectively.", 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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: 13468, 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: 13469, 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: 13470, 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: 13471, 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: 13472, 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: 13473, 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: 13474, 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: 13475, 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: 13476, 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: 13477, 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: 13478, 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: 13479, 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: 13480, 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: 13481, 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: 13482, 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: 13483, 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: 13484, 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: 13485, 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: 13486, 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: 13487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3081285297654088, std values: 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values: 0.25 0.058218\n0.50 0.208970\n0.75 0.848970\nName: 13501, 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: 13502, 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: 13503, 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: 13504, dtype: float64, respectively.", "A 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values: 0.25 0.085791\n0.50 0.317550\n0.75 1.308300\nName: 13511, 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: 13512, 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: 13513, 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: 13514, dtype: float64, respectively.", "A 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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: 13518, 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: 13519, 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: 13520, 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: 13521, 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: 13522, 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: 13523, 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: 13524, 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: 13525, 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: 13526, 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: 13527, 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: 13528, 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: 13529, 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: 13530, 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: 13531, 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: 13532, 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: 13533, 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: 13534, 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: 13535, 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: 13536, 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: 13537, 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: 13538, 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: 13539, 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: 13540, 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: 13541, 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: 13542, 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: 13543, 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: 13544, 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: 13545, 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: 13546, 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: 13547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3780498471193083, std values: 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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: 13608, 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: 13609, 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: 13610, 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: 13611, 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: 13612, 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: 13613, 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: 13614, dtype: float64, respectively.", "A 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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: 13705, 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: 13706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504109095453459, std values: 4.64636021758783, min values: 1.3299e-06, max values: 39.111, median values: 0.23081, and quantile values: 0.25 0.066034\n0.50 0.230810\n0.75 1.006835\nName: 13707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3960004655099372, std values: 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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: 13715, 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: 13716, 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: 13717, 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: 13718, 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: 13719, 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: 13720, 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: 13721, 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: 13722, 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: 13723, 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: 13724, 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: 13725, 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: 13726, 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: 13727, 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: 13728, 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: 13729, 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: 13730, 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: 13731, 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: 13732, 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: 13733, 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: 13734, 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: 13735, 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: 13736, 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: 13737, 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: 13738, 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: 13739, 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: 13740, 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: 13741, 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: 13742, 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: 13743, 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: 13744, 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: 13745, 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: 13746, 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: 13747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780907586150942, std values: 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values: 0.25 0.054277\n0.50 0.190510\n0.75 0.837940\nName: 13751, 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: 13752, 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: 13753, 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: 13754, dtype: float64, respectively.", "A 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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: 13795, 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: 13796, 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: 13797, 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: 13798, 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: 13799, 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: 13800, 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: 13801, 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: 13802, 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: 13803, 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: 13804, 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: 13805, 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: 13806, 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: 13807, 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: 13808, 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: 13809, 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: 13810, 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: 13811, 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: 13812, 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: 13813, 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: 13814, 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: 13815, 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: 13816, 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: 13817, 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: 13818, 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: 13819, 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: 13820, 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: 13821, 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: 13822, 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: 13823, 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: 13824, 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: 13825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.770511385730818, std values: 5.088643709791836, min values: 4.6803e-06, max values: 40.024, median values: 0.2997, and quantile values: 0.25 0.091132\n0.50 0.299700\n0.75 1.170750\nName: 13826, 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: 13827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266284711339623, std values: 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values: 0.25 0.05077\n0.50 0.19472\n0.75 0.90601\nName: 13831, 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: 13832, 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: 13833, 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: 13834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6707317687245282, std values: 4.984891155508382, min values: 2.6229e-06, max values: 39.31, median values: 0.29822, and quantile values: 0.25 0.084427\n0.50 0.298220\n0.75 1.070100\nName: 13835, 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: 13836, 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: 13837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710261716044024, std values: 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values: 0.25 0.072217\n0.50 0.252920\n0.75 1.035865\nName: 13841, 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: 13842, 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: 13843, 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: 13844, 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: 13845, 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: 13846, 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: 13847, 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: 13848, 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: 13849, 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: 13850, 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: 13851, 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: 13852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6523755064792454, std values: 4.941585323185596, min values: 1.2008e-06, max values: 38.847, median values: 0.26522, and quantile values: 0.25 0.067881\n0.50 0.265220\n0.75 1.106200\nName: 13853, 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: 13854, 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: 13855, 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: 13856, 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: 13857, 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: 13858, 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: 13859, 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: 13860, 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: 13861, 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: 13862, 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: 13863, 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: 13864, 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: 13865, 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: 13866, 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: 13867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6788508783440255, std values: 5.171743835902513, min values: 2.9052e-06, max values: 42.372, median values: 0.27157, and quantile values: 0.25 0.082239\n0.50 0.271570\n0.75 1.105150\nName: 13868, 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: 13869, 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: 13870, 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: 13871, 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: 13872, 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: 13873, 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: 13874, 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: 13875, 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: 13876, 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: 13877, 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: 13878, 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: 13879, 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: 13880, 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: 13881, 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: 13882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6565086945666665, std values: 4.954928804157861, min values: 4.5999e-06, max values: 40.099, median values: 0.26588, and quantile values: 0.25 0.074955\n0.50 0.265880\n0.75 1.051730\nName: 13883, 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: 13884, 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: 13885, 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: 13886, 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: 13887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5714217021125787, std values: 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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: 13938, 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: 13939, 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: 13940, 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: 13941, 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: 13942, 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: 13943, 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: 13944, 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: 13945, 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: 13946, 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: 13947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308367659571697, std values: 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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: 14025, 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: 14026, 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: 14027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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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: 14045, 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: 14046, 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: 14047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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41.642, median values: 0.23674, and quantile values: 0.25 0.067364\n0.50 0.236740\n0.75 0.834960\nName: 14051, 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: 14052, 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: 14053, 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: 14054, 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: 14055, 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: 14056, 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: 14057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.19609, and quantile values: 0.25 0.042402\n0.50 0.196090\n0.75 0.711090\nName: 14061, 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: 14062, 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: 14063, 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: 14064, 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: 14065, 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: 14066, 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: 14067, 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: 14068, 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: 14069, 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: 14070, 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: 14071, 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: 14072, 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: 14073, 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: 14074, 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: 14075, 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: 14076, 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: 14077, 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: 14078, 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: 14079, 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: 14080, 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, 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"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: 14418, 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: 14419, 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: 14420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6265088633528302, std values: 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values: 0.25 0.081260\n0.50 0.271240\n0.75 0.997825\nName: 14474, 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: 14475, 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: 14476, 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: 14477, dtype: float64, respectively.", "A 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values: 0.25 0.067911\n0.50 0.217180\n0.75 0.916590\nName: 14534, 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: 14535, 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: 14536, 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: 14537, dtype: float64, respectively.", "A 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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: 14541, 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: 14542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.599389127701258, std values: 5.1491331248274, min values: 5.4925e-06, max values: 40.896, median values: 0.271, and quantile values: 0.25 0.067257\n0.50 0.271000\n0.75 0.921905\nName: 14543, 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: 14544, 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: 14545, 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: 14546, 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: 14547, dtype: float64, respectively.", "A sample 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"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: 14868, 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: 14869, 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: 14870, 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: 14871, 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: 14872, 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: 14873, 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: 14874, 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: 14875, 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: 14876, 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: 14877, dtype: float64, respectively.", "A 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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: 14941, 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: 14942, 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: 14943, 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: 14944, 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: 14945, 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: 14946, 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: 14947, dtype: float64, respectively.", 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0.25 0.067476\n0.50 0.238760\n0.75 0.919080\nName: 15467, 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: 15468, 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: 15469, 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: 15470, dtype: float64, respectively.", "A sample 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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: 15474, 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: 15475, 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: 15476, 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: 15477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868667112465408, std values: 5.025064445595212, min values: 2.1036e-06, max values: 40.746, median values: 0.22363, and quantile values: 0.25 0.069293\n0.50 0.223630\n0.75 0.914285\nName: 15478, 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: 15479, 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: 15480, dtype: float64, respectively.", "A 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values: 0.25 0.069120\n0.50 0.224250\n0.75 0.925575\nName: 15877, 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: 15878, 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: 15879, 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: 15880, dtype: float64, respectively.", 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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: 15944, 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: 15945, 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: 15946, 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 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0.25 0.064824\n0.50 0.249000\n0.75 0.983525\nName: 16007, 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: 16008, 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: 16009, 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: 16010, dtype: float64, respectively.", "A sample with 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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: 16534, 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: 16535, 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: 16536, 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: 16537, 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: 16538, 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: 16539, 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: 16540, dtype: float64, respectively.", "A 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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: 16544, 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: 16545, 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: 16546, 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 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0.940935\nName: 16740, 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: 16741, 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: 16742, 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: 16743, dtype: float64, respectively.", "A sample with 159 features representing metab 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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: 16937, 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: 16938, 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: 16939, 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: 16940, 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: 16941, 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: 16942, 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: 16943, dtype: float64, respectively.", "A sample 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