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37.48, median values: 0.15415, and quantile values: 0.25 0.040515\n0.50 0.154150\n0.75 0.725745\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3905778013465409, std values: 4.94407966059071, min values: 5.857e-07, max values: 41.979, median values: 0.20539, and quantile values: 0.25 0.052006\n0.50 0.205390\n0.75 0.743200\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457643567620126, std values: 4.796579223342687, min values: 1.3366e-07, max values: 38.142, median values: 0.20827, and quantile values: 0.25 0.057788\n0.50 0.208270\n0.75 0.894615\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834416358125787, std values: 4.555816453802118, min values: 2.7003e-06, max values: 39.637, median values: 0.19935, and quantile values: 0.25 0.059276\n0.50 0.199350\n0.75 0.847175\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2528652877955975, std values: 4.699957791293264, min values: 6.245e-07, max values: 37.964, median values: 0.17216, and quantile values: 0.25 0.053165\n0.50 0.172160\n0.75 0.692505\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408550044864779, std values: 4.847864766726735, min values: 2.6675e-07, max values: 39.553, median values: 0.20226, and quantile values: 0.25 0.055344\n0.50 0.202260\n0.75 0.826680\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6287487237679246, std values: 5.09106953619703, min values: 4.8835e-06, max values: 40.509, median values: 0.28424, and quantile values: 0.25 0.071867\n0.50 0.284240\n0.75 1.010500\nName: 1271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.204690\n0.75 0.837165\nName: 1662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223469219320755, std values: 5.040070621724037, min values: 2.8944e-06, max values: 41.016, median values: 0.2172, and quantile values: 0.25 0.056035\n0.50 0.217200\n0.75 0.825480\nName: 1663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615126786320756, std values: 5.088364497737884, min values: 3.3966e-06, max values: 40.993, median values: 0.215, and quantile values: 0.25 0.058827\n0.50 0.215000\n0.75 0.781045\nName: 1664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6454297233660378, std values: 5.031525552103231, min values: 2.5347e-06, max values: 39.436, median values: 0.28881, and quantile values: 0.25 0.078561\n0.50 0.288810\n0.75 1.052550\nName: 1665, dtype: float64, respectively.", "A sample with 159 features 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0.233100\n0.75 0.813140\nName: 1722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6930258919654089, std values: 5.047631328870532, min values: 6.105e-06, max values: 40.741, median values: 0.293, and quantile values: 0.25 0.095247\n0.50 0.293000\n0.75 1.081600\nName: 1723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3272444904467926, std values: 4.646107077208532, min values: 1.6024e-07, max values: 36.9, median values: 0.18802, and quantile values: 0.25 0.050924\n0.50 0.188020\n0.75 0.751230\nName: 1724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767908760270442, std values: 5.363804868426854, min values: 1.0916e-06, max values: 48.205, median values: 0.24975, and quantile values: 0.25 0.072679\n0.50 0.249750\n0.75 0.960100\nName: 1725, dtype: float64, respectively.", "A sample with 159 features 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0.292070\n0.75 1.008335\nName: 1732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8124166477289307, std values: 5.50113040959119, min values: 8.63e-07, max values: 48.244, median values: 0.30684, and quantile values: 0.25 0.07045\n0.50 0.30684\n0.75 1.33900\nName: 1733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6080207356514025, std values: 5.529913762907478, min values: 8.4673e-08, max values: 51.292, median values: 0.19478, and quantile values: 0.25 0.057357\n0.50 0.194780\n0.75 0.958420\nName: 1734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882776836836479, std values: 5.293405293081801, min values: 1.2969e-06, max values: 45.92, median values: 0.23457, and quantile values: 0.25 0.067449\n0.50 0.234570\n0.75 0.886995\nName: 1735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2926919215968555, std values: 4.811561153974677, min values: 1.2392e-06, max values: 39.479, median values: 0.18218, and quantile values: 0.25 0.044576\n0.50 0.182180\n0.75 0.744505\nName: 1736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346368976684717, std values: 4.87809680945927, min values: 4.0728e-07, max values: 40.812, median values: 0.16207, and quantile values: 0.25 0.046472\n0.50 0.162070\n0.75 0.766710\nName: 1737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456841826462201, std values: 4.537137829775143, min values: 1.5059e-07, max values: 37.214, median values: 0.20923, and quantile values: 0.25 0.054914\n0.50 0.209230\n0.75 0.950490\nName: 1738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3197031014660376, std values: 4.74404602592953, min values: 1.5636e-06, max 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0.056268\n0.50 0.169390\n0.75 0.685165\nName: 2460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5995788920666665, std values: 4.814218527267385, min values: 4.1032e-06, max values: 39.412, median values: 0.25806, and quantile values: 0.25 0.074805\n0.50 0.258060\n0.75 1.093600\nName: 2461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2181427091940253, std values: 4.418798338009288, min values: 4.0362e-07, max values: 37.038, median values: 0.14852, and quantile values: 0.25 0.039642\n0.50 0.148520\n0.75 0.609225\nName: 2462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2351542805943396, std values: 4.783850586350948, min values: 1.9801e-06, max values: 39.984, median values: 0.15873, and quantile values: 0.25 0.048369\n0.50 0.158730\n0.75 0.635340\nName: 2463, dtype: float64, respectively.", "A sample with 159 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0.062864\n0.50 0.230550\n0.75 0.901820\nName: 2470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4054714242371067, std values: 5.054166360138775, min values: 1.8594e-06, max values: 42.983, median values: 0.20736, and quantile values: 0.25 0.062284\n0.50 0.207360\n0.75 0.795080\nName: 2471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6612040511786161, std values: 5.059457515268429, min values: 1.9366e-06, max values: 39.821, median values: 0.28341, and quantile values: 0.25 0.081127\n0.50 0.283410\n0.75 1.149750\nName: 2472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3049171420138364, std values: 4.6422451772332645, min values: 1.1188e-06, max values: 39.09, median values: 0.15918, and quantile values: 0.25 0.057455\n0.50 0.159180\n0.75 0.758485\nName: 2473, dtype: float64, respectively.", "A sample with 159 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0.060191\n0.50 0.194660\n0.75 0.866635\nName: 2530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6527598076773584, std values: 5.323705621192204, min values: 2.2272e-06, max values: 45.251, median values: 0.26765, and quantile values: 0.25 0.074723\n0.50 0.267650\n0.75 1.051700\nName: 2531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690781499138366, std values: 4.836747554483382, min values: 1.6902e-06, max values: 38.422, median values: 0.2526, and quantile values: 0.25 0.068790\n0.50 0.252600\n0.75 0.914655\nName: 2532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5105688860095599, std values: 4.8318437398648335, min values: 7.9642e-07, max values: 38.378, median values: 0.23389, and quantile values: 0.25 0.072351\n0.50 0.233890\n0.75 0.999775\nName: 2533, dtype: float64, respectively.", "A sample with 159 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38.868, median values: 0.32074, and quantile values: 0.25 0.094783\n0.50 0.320740\n0.75 1.104800\nName: 3061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9475374380402515, std values: 5.60110653076394, min values: 7.6434e-06, max values: 44.841, median values: 0.31242, and quantile values: 0.25 0.090635\n0.50 0.312420\n0.75 1.251200\nName: 3062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2514068955955975, std values: 4.747996211516374, min values: 1.2946e-06, max values: 38.754, median values: 0.16331, and quantile values: 0.25 0.047784\n0.50 0.163310\n0.75 0.644420\nName: 3063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7693164483345911, std values: 5.315602540262667, min values: 2.9502e-06, max values: 43.651, median values: 0.31347, and quantile values: 0.25 0.083583\n0.50 0.313470\n0.75 1.180400\nName: 3064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5221779402528304, std values: 5.037099148884998, min values: 1.8877e-06, max values: 40.907, median values: 0.2213, and quantile values: 0.25 0.064015\n0.50 0.221300\n0.75 0.915475\nName: 3065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422366438132327, std values: 5.0158239441923484, min values: 7.8044e-07, max values: 42.254, median values: 0.19309, and quantile values: 0.25 0.055491\n0.50 0.193090\n0.75 0.843190\nName: 3066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475707553345911, std values: 4.758659990209784, min values: 3.5179e-06, max values: 40.971, median values: 0.23036, and quantile values: 0.25 0.062272\n0.50 0.230360\n0.75 0.813140\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.25482, and quantile values: 0.25 0.069127\n0.50 0.254820\n0.75 1.023300\nName: 3071, 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: 3072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486421443425788, std values: 4.836304744453405, min values: 3.0927e-07, max values: 38.826, median values: 0.18558, and quantile values: 0.25 0.055129\n0.50 0.185580\n0.75 0.858445\nName: 3073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880651643968554, std values: 4.896516349730715, min values: 4.0435e-06, max values: 40.553, median values: 0.24352, and quantile values: 0.25 0.077594\n0.50 0.243520\n0.75 0.872975\nName: 3074, 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41.434, median values: 0.30612, and quantile values: 0.25 0.085143\n0.50 0.306120\n0.75 1.108200\nName: 3198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5629038711937104, std values: 5.182427293227274, min values: 2.3887e-06, max values: 43.527, median values: 0.24082, and quantile values: 0.25 0.068723\n0.50 0.240820\n0.75 0.953845\nName: 3199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107754775866665, std values: 4.983006882997589, min values: 8.3438e-07, max values: 39.921, median values: 0.27512, and quantile values: 0.25 0.070740\n0.50 0.275120\n0.75 1.055555\nName: 3200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617249925044025, std values: 4.958082889167909, min values: 6.034e-06, max values: 41.227, median values: 0.22416, and quantile values: 0.25 0.063997\n0.50 0.224160\n0.75 0.761605\nName: 3201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3636215278337611, std values: 4.7116560285903395, min values: 9.7108e-08, max values: 38.213, median values: 0.17532, and quantile values: 0.25 0.044362\n0.50 0.175320\n0.75 0.753860\nName: 3202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496185134814887, std values: 4.971641308186991, min values: 5.8167e-08, max values: 42.072, median values: 0.20513, and quantile values: 0.25 0.053163\n0.50 0.205130\n0.75 0.889285\nName: 3203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57014542576478, std values: 4.907306518024326, min values: 2.4898e-06, max values: 39.536, median values: 0.26875, and quantile values: 0.25 0.071582\n0.50 0.268750\n0.75 0.954640\nName: 3204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.243840\n0.75 1.026015\nName: 3535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451451643909937, std values: 4.940556996956253, min values: 4.2648e-07, max values: 41.869, median values: 0.18559, and quantile values: 0.25 0.053401\n0.50 0.185590\n0.75 0.802950\nName: 3536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285043956138364, std values: 5.011923572135576, min values: 4.0273e-06, max values: 40.175, median values: 0.23319, and quantile values: 0.25 0.070159\n0.50 0.233190\n0.75 0.891380\nName: 3537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460700982518239, std values: 4.973435130403925, min values: 1.691e-07, max values: 41.653, median values: 0.18062, and quantile values: 0.25 0.053433\n0.50 0.180620\n0.75 0.837745\nName: 3538, dtype: float64, respectively.", "A sample with 159 features 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values: 0.24805, and quantile values: 0.25 0.065864\n0.50 0.248050\n0.75 1.095350\nName: 3602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4892179100257295, std values: 4.701162088410694, min values: 3.5431e-08, max values: 36.766, median values: 0.22706, and quantile values: 0.25 0.05716\n0.50 0.22706\n0.75 0.95839\nName: 3603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544579285792454, std values: 5.094663516422518, min values: 1.4124e-06, max values: 43.432, median values: 0.20258, and quantile values: 0.25 0.063390\n0.50 0.202580\n0.75 0.843065\nName: 3604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4584121370237735, std values: 4.753194070366159, min values: 1.3608e-07, max values: 37.725, median values: 0.26202, and quantile values: 0.25 0.055001\n0.50 0.262020\n0.75 0.960010\nName: 3605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7422171910679245, std values: 4.8632225718695645, min values: 2.0755e-06, max values: 38.509, median values: 0.31202, and quantile values: 0.25 0.082998\n0.50 0.312020\n0.75 1.248750\nName: 3606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6768479811559747, std values: 5.504697428723445, min values: 2.4761e-06, max values: 49.334, median values: 0.27442, and quantile values: 0.25 0.069644\n0.50 0.274420\n0.75 1.058900\nName: 3607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048644397320754, std values: 4.735551170763725, min values: 3.6203e-06, max values: 40.34, median values: 0.22651, and quantile values: 0.25 0.068730\n0.50 0.226510\n0.75 0.904795\nName: 3608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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0.25 0.059929\n0.50 0.192450\n0.75 0.841690\nName: 3722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4416095920446539, std values: 4.898711238150569, min values: 1.578e-06, max values: 39.913, median values: 0.22217, and quantile values: 0.25 0.064205\n0.50 0.222170\n0.75 0.795320\nName: 3723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447136352625786, std values: 4.770812054078462, min values: 1.1164e-06, max values: 38.196, median values: 0.23047, and quantile values: 0.25 0.058472\n0.50 0.230470\n0.75 0.888580\nName: 3724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3757265616754717, std values: 4.845846387806666, min values: 3.4108e-06, max values: 40.23, median values: 0.20328, and quantile values: 0.25 0.062303\n0.50 0.203280\n0.75 0.708400\nName: 3725, dtype: float64, respectively.", "A sample with 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4.642797437396653, min values: 1.4948e-07, max values: 37.134, median values: 0.2, and quantile values: 0.25 0.056202\n0.50 0.200000\n0.75 0.863890\nName: 3739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3817464983899368, std values: 4.9029444831629165, min values: 1.8512e-06, max values: 40.671, median values: 0.19841, and quantile values: 0.25 0.055983\n0.50 0.198410\n0.75 0.770055\nName: 3740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3134376755157233, std values: 4.88900581608022, min values: 2.1893e-06, max values: 39.873, median values: 0.15733, and quantile values: 0.25 0.053368\n0.50 0.157330\n0.75 0.631655\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376091644776981, std values: 4.804390688900051, min values: 8.9204e-07, max values: 39.066, median values: 0.19091, and quantile values: 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0.073576\n0.50 0.265640\n0.75 1.085750\nName: 3782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4773011233385536, std values: 4.982897757350953, min values: 8.0193e-07, max values: 41.527, median values: 0.21292, and quantile values: 0.25 0.064649\n0.50 0.212920\n0.75 0.837625\nName: 3783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241707318276727, std values: 5.008498024839232, min values: 6.444e-07, max values: 41.391, median values: 0.23225, and quantile values: 0.25 0.052161\n0.50 0.232250\n0.75 0.897415\nName: 3784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5658306784384906, std values: 4.923303746993021, min values: 7.6922e-07, max values: 39.172, median values: 0.2906, and quantile values: 0.25 0.069496\n0.50 0.290600\n0.75 1.061150\nName: 3785, dtype: float64, respectively.", "A sample with 159 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values: 3.7052e-06, max values: 43.667, median values: 0.26818, and quantile values: 0.25 0.085117\n0.50 0.268180\n0.75 0.930880\nName: 3789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2454350158621386, std values: 4.538722621750194, min values: 3.4518e-07, max values: 37.368, median values: 0.15799, and quantile values: 0.25 0.045219\n0.50 0.157990\n0.75 0.654255\nName: 3790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3411997303909498, std values: 4.601478681344558, min values: 1.7861e-08, max values: 37.02, median values: 0.16042, and quantile values: 0.25 0.034724\n0.50 0.160420\n0.75 0.672350\nName: 3791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6578232020522015, std values: 4.980647736417097, min values: 3.2309e-06, max values: 40.163, median values: 0.28091, and quantile values: 0.25 0.081467\n0.50 0.280910\n0.75 1.056900\nName: 3792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2617372653773582, std values: 4.482972516890608, min values: 1.2535e-06, max values: 38.69, median values: 0.16948, and quantile values: 0.25 0.057368\n0.50 0.169480\n0.75 0.713390\nName: 3793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483391029535849, std values: 5.2168055250073255, min values: 1.6384e-06, max values: 44.14, median values: 0.21182, and quantile values: 0.25 0.051125\n0.50 0.211820\n0.75 0.937725\nName: 3794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379932714245283, std values: 4.812666692936286, min values: 1.0335e-06, max values: 38.785, median values: 0.19737, and quantile values: 0.25 0.054761\n0.50 0.197370\n0.75 0.749290\nName: 3795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865544434559748, std values: 5.159639002851881, min values: 3.0005e-06, max values: 41.874, median values: 0.22676, and quantile values: 0.25 0.071192\n0.50 0.226760\n0.75 0.959670\nName: 3796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372128079012176, std values: 5.032119102612812, min values: 1.7346e-08, max values: 44.029, median values: 0.14875, and quantile values: 0.25 0.044335\n0.50 0.148750\n0.75 0.689345\nName: 3797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4760050380786163, std values: 4.901388588848741, min values: 2.614e-06, max values: 39.502, median values: 0.2171, and quantile values: 0.25 0.074411\n0.50 0.217100\n0.75 0.910045\nName: 3798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048437735648428, std values: 4.8763857596303595, min values: 5.2771e-07, max values: 39.285, median values: 0.24666, and quantile values: 0.25 0.065003\n0.50 0.246660\n0.75 0.958700\nName: 3799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6323030560654088, std values: 5.039252081671809, min values: 2.6029e-06, max values: 39.9, median values: 0.27666, and quantile values: 0.25 0.077216\n0.50 0.276660\n0.75 1.143950\nName: 3800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5773475459728994, std values: 4.888445509839062, min values: 2.0691e-08, max values: 38.549, median values: 0.26213, and quantile values: 0.25 0.062858\n0.50 0.262130\n0.75 1.007350\nName: 3801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662238315088048, std values: 5.065773645370146, min values: 2.0121e-06, max values: 41.126, median values: 0.2332, and quantile values: 0.25 0.06664\n0.50 0.23320\n0.75 1.02155\nName: 3802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.708253381035849, std values: 5.165559552871371, min values: 2.582e-06, max values: 41.623, median values: 0.28353, and quantile values: 0.25 0.078146\n0.50 0.283530\n0.75 1.209500\nName: 3803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5987344367064154, std values: 5.1487696607172575, min values: 5.4422e-07, max values: 43.776, median values: 0.24562, and quantile values: 0.25 0.059039\n0.50 0.245620\n0.75 0.924730\nName: 3804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089019603616356, std values: 4.901426594130429, min values: 5.6403e-06, max values: 41.158, median values: 0.22579, and quantile values: 0.25 0.064238\n0.50 0.225790\n0.75 0.899520\nName: 3805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4291198502132263, std values: 4.882847029127994, min values: 2.5623e-08, max values: 40.906, median values: 0.17745, and quantile values: 0.25 0.041292\n0.50 0.177450\n0.75 0.758970\nName: 3806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2814755770451889, std values: 4.641553589899489, min values: 2.2645e-08, max values: 37.214, median values: 0.17911, and quantile values: 0.25 0.040234\n0.50 0.179110\n0.75 0.718870\nName: 3807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925450819949683, std values: 5.13054137129098, min values: 2.0133e-06, max values: 41.181, median values: 0.28044, and quantile values: 0.25 0.075623\n0.50 0.280440\n0.75 1.100935\nName: 3808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7093005821987421, std values: 5.257280779451476, min values: 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40.494, median values: 0.19738, and quantile values: 0.25 0.053897\n0.50 0.197380\n0.75 0.729105\nName: 3839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477304487091195, std values: 4.864216510768288, min values: 1.3992e-06, max values: 38.546, median values: 0.22843, and quantile values: 0.25 0.066917\n0.50 0.228430\n0.75 0.831015\nName: 3840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469808646344654, std values: 5.047234103794982, min values: 5.0183e-06, max values: 40.471, median values: 0.24104, and quantile values: 0.25 0.072958\n0.50 0.241040\n0.75 0.820620\nName: 3841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4031931769278678, std values: 4.8603012695170325, min values: 1.5657e-08, max values: 41.734, median values: 0.16428, and quantile values: 0.25 0.032812\n0.50 0.164280\n0.75 0.709445\nName: 3842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3721793613329056, std values: 4.748180549720995, min values: 1.7562e-08, max values: 37.941, median values: 0.16815, and quantile values: 0.25 0.048954\n0.50 0.168150\n0.75 0.757530\nName: 3843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6765803049955974, std values: 5.956844548936532, min values: 2.0473e-06, max values: 56.885, median values: 0.25615, and quantile values: 0.25 0.067807\n0.50 0.256150\n0.75 1.085200\nName: 3844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257533765836477, std values: 5.02065792055481, min values: 1.1381e-06, max values: 40.95, median values: 0.25384, and quantile values: 0.25 0.060526\n0.50 0.253840\n0.75 0.914670\nName: 3845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.33526, and quantile values: 0.25 0.08040\n0.50 0.33526\n0.75 1.09215\nName: 3849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045943004765407, std values: 4.819484863528856, min values: 9.3337e-07, max values: 39.065, median values: 0.18233, and quantile values: 0.25 0.053763\n0.50 0.182330\n0.75 0.817195\nName: 3850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346097628142769, std values: 4.664683601474463, min values: 8.4337e-07, max values: 38.075, median values: 0.19637, and quantile values: 0.25 0.058223\n0.50 0.196370\n0.75 0.811760\nName: 3851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760908717578615, std values: 5.016070716130106, min values: 6.4052e-06, max values: 41.7, median values: 0.1293, and quantile values: 0.25 0.047675\n0.50 0.129300\n0.75 0.565355\nName: 3852, dtype: 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values: 0.24232, and quantile values: 0.25 0.070442\n0.50 0.242320\n0.75 0.959245\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6446221679194968, std values: 5.141007678277897, min values: 2.9616e-06, max values: 41.32, median values: 0.281, and quantile values: 0.25 0.075899\n0.50 0.281000\n0.75 1.058950\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115144081069182, std values: 4.969704902347379, min values: 1.9365e-06, max values: 39.608, median values: 0.25363, and quantile values: 0.25 0.06985\n0.50 0.25363\n0.75 1.05260\nName: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7365614485534588, std values: 5.18042600368964, min values: 1.1197e-06, max values: 42.86, median values: 0.30661, and quantile values: 0.25 0.078678\n0.50 0.306610\n0.75 1.238750\nName: 3862, dtype: float64, 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std values: 4.359784284686291, min values: 1.0149e-06, max values: 37.014, median values: 0.15345, and quantile values: 0.25 0.05202\n0.50 0.15345\n0.75 0.60718\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473331869025158, std values: 4.589938969681848, min values: 1.3958e-06, max values: 38.781, median values: 0.18612, and quantile values: 0.25 0.057584\n0.50 0.186120\n0.75 0.765075\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5577564740226413, std values: 5.051044723783814, min values: 1.6661e-06, max values: 41.359, median values: 0.23158, and quantile values: 0.25 0.066966\n0.50 0.231580\n0.75 1.024650\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569040407930189, std values: 4.89475986528167, min values: 2.0122e-06, max values: 39.685, median values: 0.25859, and quantile values: 0.25 0.069474\n0.50 0.258590\n0.75 1.036600\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6470357085811322, std values: 4.983772058260188, min values: 1.669e-06, max values: 39.61, median values: 0.25213, and quantile values: 0.25 0.074371\n0.50 0.252130\n0.75 1.084850\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6673474976150944, std values: 4.9269753303971635, min values: 2.9931e-06, max values: 39.273, median values: 0.27621, and quantile values: 0.25 0.07443\n0.50 0.27621\n0.75 1.13005\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4357132638761008, std values: 4.900225486587025, min values: 1.2028e-06, max values: 39.967, median values: 0.21841, and quantile values: 0.25 0.060904\n0.50 0.218410\n0.75 0.776820\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4811367875352204, std values: 4.941324912758311, min values: 2.2265e-06, max values: 39.362, median values: 0.26802, and quantile values: 0.25 0.063070\n0.50 0.268020\n0.75 0.898515\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5212557157385533, std values: 4.721648162626249, min values: 5.4723e-07, max values: 36.896, median values: 0.2279, and quantile values: 0.25 0.071086\n0.50 0.227900\n0.75 0.936730\nName: 3874, 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: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5192747869098742, std values: 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5.069318144961228, min values: 2.5505e-06, max values: 41.906, median values: 0.22152, and quantile values: 0.25 0.061775\n0.50 0.221520\n0.75 0.768105\nName: 3936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4517648436861637, std values: 4.9549551340845905, min values: 1.8111e-06, max values: 40.158, median values: 0.21224, and quantile values: 0.25 0.068011\n0.50 0.212240\n0.75 0.854225\nName: 3937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7266483490886795, std values: 5.186301200423867, min values: 5.2117e-06, max values: 40.776, median values: 0.30479, and quantile values: 0.25 0.088672\n0.50 0.304790\n0.75 1.032550\nName: 3938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.310664086028302, std values: 4.699245741823771, min values: 1.0921e-06, max values: 37.973, median values: 0.18813, and quantile values: 0.25 0.05692\n0.50 0.18813\n0.75 0.72777\nName: 3939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5081296187242705, std values: 4.84518953332757, min values: 1.5759e-08, max values: 38.587, median values: 0.21192, and quantile values: 0.25 0.056629\n0.50 0.211920\n0.75 1.015460\nName: 3940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806630305559748, std values: 5.220733369315696, min values: 4.0902e-06, max values: 42.625, median values: 0.25316, and quantile values: 0.25 0.078708\n0.50 0.253160\n0.75 0.874235\nName: 3941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3456348298830187, std values: 4.837957665137471, min values: 1.1642e-06, max values: 39.087, median values: 0.17393, and quantile values: 0.25 0.052202\n0.50 0.173930\n0.75 0.761920\nName: 3942, dtype: float64, respectively.", "A sample 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