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values: 0.1814, and quantile values: 0.25 0.053673\n0.50 0.181400\n0.75 0.744225\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3281220165025156, std values: 4.823967340171552, min values: 2.3141e-06, max values: 38.887, median values: 0.16885, and quantile values: 0.25 0.047045\n0.50 0.168850\n0.75 0.681525\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2736796664144654, std values: 4.66001689073339, min values: 4.58e-07, max values: 37.269, median values: 0.17346, and quantile values: 0.25 0.050927\n0.50 0.173460\n0.75 0.745890\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466895260742138, std values: 4.669241773058452, min values: 2.8974e-06, max values: 39.952, median values: 0.20038, and quantile values: 0.25 0.06286\n0.50 0.20038\n0.75 0.73374\nName: 1271, dtype: float64, 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0.290110\n0.75 0.993760\nName: 1468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4934770203759118, std values: 4.752630928330358, min values: 8.5747e-07, max values: 38.573, median values: 0.21023, and quantile values: 0.25 0.060306\n0.50 0.210230\n0.75 1.000835\nName: 1469, 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: 1470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646961599318239, std values: 5.079013073097205, min values: 4.6108e-06, max values: 40.731, median values: 0.26693, and quantile values: 0.25 0.072813\n0.50 0.266930\n0.75 1.031800\nName: 1471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3082164659642768, std values: 4.62369762973032, min values: 4.2172e-07, max values: 37.165, median values: 0.19373, and quantile values: 0.25 0.051291\n0.50 0.193730\n0.75 0.741505\nName: 1472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4999581493668552, std values: 4.80673085199325, min values: 2.4713e-07, max values: 38.007, median values: 0.22022, and quantile values: 0.25 0.057695\n0.50 0.220220\n0.75 0.960860\nName: 1473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806902287353777, std values: 4.951095735325086, min values: 2.6425e-08, max values: 40.326, median values: 0.23075, and quantile values: 0.25 0.056455\n0.50 0.230750\n0.75 1.064400\nName: 1474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4186736404227545, std values: 4.893578246507043, min values: 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values: 0.23747, and quantile values: 0.25 0.07704\n0.50 0.23747\n0.75 0.90260\nName: 1605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647817078933333, std values: 4.965581046303755, min values: 1.0346e-06, max values: 39.262, median values: 0.27125, and quantile values: 0.25 0.073766\n0.50 0.271250\n0.75 1.156350\nName: 1606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5968632431710692, std values: 5.004811419548932, min values: 1.317e-06, max values: 39.439, median values: 0.29034, and quantile values: 0.25 0.068433\n0.50 0.290340\n0.75 1.016710\nName: 1607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506416502201258, std values: 4.942881837938439, min values: 1.6087e-06, max values: 39.983, median values: 0.22249, and quantile values: 0.25 0.058254\n0.50 0.222490\n0.75 0.870265\nName: 1608, dtype: 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1.182250\nName: 1725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3555314298829562, std values: 4.634782460443911, min values: 8.7799e-07, max values: 37.811, median values: 0.19017, and quantile values: 0.25 0.060718\n0.50 0.190170\n0.75 0.816030\nName: 1726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657968814811323, std values: 4.903423829880029, min values: 1.4572e-06, max values: 38.929, median values: 0.26911, and quantile values: 0.25 0.07407\n0.50 0.26911\n0.75 1.01635\nName: 1727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415317210871698, std values: 4.833200929285189, min values: 1.4271e-06, max values: 38.589, median values: 0.19235, and quantile values: 0.25 0.060645\n0.50 0.192350\n0.75 0.795255\nName: 1728, dtype: float64, respectively.", "A sample with 159 features representing metab data 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38.137, median values: 0.18418, and quantile values: 0.25 0.052289\n0.50 0.184180\n0.75 0.727010\nName: 1732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447287467583394, std values: 4.684210176497437, min values: 8.3276e-08, max values: 37.401, median values: 0.20894, and quantile values: 0.25 0.050183\n0.50 0.208940\n0.75 0.913980\nName: 1733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.287481593273585, std values: 4.567365214548535, min values: 3.801e-07, max values: 37.232, median values: 0.16779, and quantile values: 0.25 0.049161\n0.50 0.167790\n0.75 0.752850\nName: 1734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568078856104195, std values: 5.078025492065618, min values: 5.0367e-08, max values: 42.497, median values: 0.225, and quantile values: 0.25 0.057265\n0.50 0.225000\n0.75 0.934985\nName: 1735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4250649724245286, std values: 4.892042361631863, min values: 2.8528e-06, max values: 39.663, median values: 0.21029, and quantile values: 0.25 0.065872\n0.50 0.210290\n0.75 0.809095\nName: 1736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148620061351573, std values: 4.931019026670506, min values: 9.9599e-07, max values: 40.272, median values: 0.21648, and quantile values: 0.25 0.061166\n0.50 0.216480\n0.75 0.841060\nName: 1737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642005590861635, std values: 5.21593331111752, min values: 2.2006e-06, max values: 44.089, median values: 0.20586, and quantile values: 0.25 0.056323\n0.50 0.205860\n0.75 0.849890\nName: 1738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.25 0.027160\n0.50 0.110180\n0.75 0.544925\nName: 2139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706562748603774, std values: 4.906785429260489, min values: 1.9359e-06, max values: 38.837, median values: 0.25962, and quantile values: 0.25 0.071243\n0.50 0.259620\n0.75 1.002495\nName: 2140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6696899997849055, std values: 5.11724954169707, min values: 2.4426e-06, max values: 40.249, median values: 0.302, and quantile values: 0.25 0.071752\n0.50 0.302000\n0.75 1.122170\nName: 2141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.716949376278616, std values: 5.226846209309518, min values: 4.9088e-06, max values: 40.858, median values: 0.29668, and quantile values: 0.25 0.07370\n0.50 0.29668\n0.75 1.07050\nName: 2142, dtype: float64, respectively.", "A sample with 159 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42.856, median values: 0.19157, and quantile values: 0.25 0.057929\n0.50 0.191570\n0.75 0.865945\nName: 2470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3421939413088049, std values: 4.738331082592859, min values: 2.6446e-06, max values: 39.521, median values: 0.2022, and quantile values: 0.25 0.056839\n0.50 0.202200\n0.75 0.763555\nName: 2471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2234977079652327, std values: 4.5736762177479875, min values: 1.8292e-08, max values: 37.01, median values: 0.14281, and quantile values: 0.25 0.035870\n0.50 0.142810\n0.75 0.643405\nName: 2472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1802817605167295, std values: 4.537475696885914, min values: 4.3226e-07, max values: 38.571, median values: 0.14113, and quantile values: 0.25 0.038587\n0.50 0.141130\n0.75 0.594235\nName: 2473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5951487253245282, std values: 5.246913650824256, min values: 2.717e-06, max values: 44.412, median values: 0.24216, and quantile values: 0.25 0.075503\n0.50 0.242160\n0.75 0.966395\nName: 2474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6086208435098177, std values: 5.116394490659324, min values: 2.0723e-08, max values: 44.253, median values: 0.19328, and quantile values: 0.25 0.039911\n0.50 0.193280\n0.75 0.897810\nName: 2475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483030794179307, std values: 4.576237040812691, min values: 2.8191e-08, max values: 36.916, median values: 0.17271, and quantile values: 0.25 0.049989\n0.50 0.172710\n0.75 0.781575\nName: 2476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.19843, and quantile values: 0.25 0.059292\n0.50 0.198430\n0.75 0.797005\nName: 2540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4094418624974845, std values: 4.933053772752792, min values: 3.2632e-06, max values: 40.818, median values: 0.19149, and quantile values: 0.25 0.057544\n0.50 0.191490\n0.75 0.765445\nName: 2541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187217443657234, std values: 4.925836910344469, min values: 1.3975e-07, max values: 42.126, median values: 0.18036, and quantile values: 0.25 0.049159\n0.50 0.180360\n0.75 0.795865\nName: 2542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481135312183648, std values: 5.445877154941348, min values: 5.5752e-06, max values: 47.077, median values: 0.19007, and quantile values: 0.25 0.053114\n0.50 0.190070\n0.75 0.750945\nName: 2543, dtype: float64, 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50.819, median values: 0.26256, and quantile values: 0.25 0.076611\n0.50 0.262560\n0.75 1.129000\nName: 3064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6470993550679245, std values: 5.033710386104829, min values: 1.7861e-06, max values: 39.934, median values: 0.27209, and quantile values: 0.25 0.075637\n0.50 0.272090\n0.75 1.122400\nName: 3065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2619872962496854, std values: 4.678430298664117, min values: 2.146e-06, max values: 39.408, median values: 0.16777, and quantile values: 0.25 0.048638\n0.50 0.167770\n0.75 0.689360\nName: 3066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6659142767207549, std values: 4.929041333969368, min values: 2.4541e-06, max values: 39.217, median values: 0.28424, and quantile values: 0.25 0.086891\n0.50 0.284240\n0.75 1.105900\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441629066032702, std values: 4.999486149159136, min values: 7.1052e-07, max values: 41.728, median values: 0.21997, and quantile values: 0.25 0.060163\n0.50 0.219970\n0.75 0.882955\nName: 3068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767309244425847, std values: 4.985312263621559, min values: 2.4951e-08, max values: 42.116, median values: 0.25031, and quantile values: 0.25 0.055350\n0.50 0.250310\n0.75 0.932285\nName: 3069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330371069421384, std values: 4.909799453781439, min values: 1.7235e-06, max values: 39.294, median values: 0.20042, and quantile values: 0.25 0.056535\n0.50 0.200420\n0.75 0.868370\nName: 3070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.25999, and quantile values: 0.25 0.070282\n0.50 0.259990\n0.75 0.963085\nName: 3074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244185268515725, std values: 4.970595468333073, min values: 2.5055e-06, max values: 39.426, median values: 0.26519, and quantile values: 0.25 0.07743\n0.50 0.26519\n0.75 1.07495\nName: 3075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.78878538395912, std values: 5.256911001681374, min values: 2.8092e-06, max values: 42.506, median values: 0.3172, and quantile values: 0.25 0.07847\n0.50 0.31720\n0.75 1.28500\nName: 3076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4538498034874212, std values: 4.776144300461959, min values: 1.8089e-06, max values: 39.709, median values: 0.21346, and quantile values: 0.25 0.065896\n0.50 0.213460\n0.75 0.911435\nName: 3077, dtype: 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0.237010\n0.75 1.081500\nName: 3471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5413007736805033, std values: 5.044513338372404, min values: 1.5972e-06, max values: 40.124, median values: 0.2484, and quantile values: 0.25 0.063425\n0.50 0.248400\n0.75 0.970315\nName: 3472, 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: 3473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2773830315935222, std values: 4.966061312584413, min values: 2.0957e-07, max values: 42.471, median values: 0.15159, and quantile values: 0.25 0.042205\n0.50 0.151590\n0.75 0.663415\nName: 3474, dtype: float64, respectively.", "A sample with 159 features 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values: 7.6825e-09, max values: 40.468, median values: 0.15425, and quantile values: 0.25 0.039348\n0.50 0.154250\n0.75 0.697785\nName: 3478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3554221276477987, std values: 4.976853378179477, min values: 3.0117e-07, max values: 43.45, median values: 0.1624, and quantile values: 0.25 0.037735\n0.50 0.162400\n0.75 0.680880\nName: 3479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557497067949685, std values: 4.7770868548657095, min values: 3.6594e-06, max values: 39.868, median values: 0.22472, and quantile values: 0.25 0.07665\n0.50 0.22472\n0.75 0.89794\nName: 3480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535138134289937, std values: 4.952973959614042, min values: 3.1645e-06, max values: 40.111, median values: 0.29095, and quantile values: 0.25 0.07743\n0.50 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0.255680\n0.75 1.030995\nName: 3668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2733869414649683, std values: 4.750412531509931, min values: 4.7513e-07, max values: 38.615, median values: 0.16673, and quantile values: 0.25 0.048062\n0.50 0.166730\n0.75 0.648825\nName: 3669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2452313308547172, std values: 4.850524274441851, min values: 2.5974e-06, max values: 40.158, median values: 0.16987, and quantile values: 0.25 0.049275\n0.50 0.169870\n0.75 0.593350\nName: 3670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342212656708805, std values: 5.017056196663146, min values: 2.0502e-06, max values: 41.849, median values: 0.1772, and quantile values: 0.25 0.055631\n0.50 0.177200\n0.75 0.703440\nName: 3671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4863838885784717, std values: 4.9495588752988, min values: 1.9537e-08, max values: 42.403, median values: 0.19988, and quantile values: 0.25 0.048558\n0.50 0.199880\n0.75 0.874395\nName: 3672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211345224855344, std values: 5.014088236573641, min values: 1.7556e-06, max values: 40.425, median values: 0.23014, and quantile values: 0.25 0.067333\n0.50 0.230140\n0.75 0.911150\nName: 3673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29769372763805, std values: 4.737293460472548, min values: 1.7875e-07, max values: 38.374, median values: 0.15819, and quantile values: 0.25 0.041064\n0.50 0.158190\n0.75 0.671865\nName: 3674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487348515307547, std values: 4.895635523481831, min values: 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0.269580\n0.75 1.111565\nName: 3678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5214888914803772, std values: 4.931137452053841, min values: 5.2658e-07, max values: 41.091, median values: 0.21453, and quantile values: 0.25 0.060117\n0.50 0.214530\n0.75 0.908000\nName: 3679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5365149631578616, std values: 4.823656205702959, min values: 2.1801e-06, max values: 38.712, median values: 0.2488, and quantile values: 0.25 0.07150\n0.50 0.24880\n0.75 0.99136\nName: 3680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4829693445891192, std values: 4.726108757565446, min values: 4.0157e-07, max values: 37.028, median values: 0.25239, and quantile values: 0.25 0.064139\n0.50 0.252390\n0.75 0.961255\nName: 3681, dtype: float64, respectively.", "A sample with 159 features 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values: 0.16975, and quantile values: 0.25 0.049115\n0.50 0.169750\n0.75 0.781880\nName: 3735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507670998509434, std values: 4.823976063478761, min values: 2.1776e-06, max values: 39.69, median values: 0.21575, and quantile values: 0.25 0.059423\n0.50 0.215750\n0.75 0.914145\nName: 3736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473012078379876, std values: 4.599219670889167, min values: 1.7884e-07, max values: 37.168, median values: 0.16736, and quantile values: 0.25 0.048008\n0.50 0.167360\n0.75 0.738270\nName: 3737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198516226943394, std values: 5.10304914230664, min values: 3.4036e-06, max values: 42.147, median values: 0.1978, and quantile values: 0.25 0.061524\n0.50 0.197800\n0.75 0.782205\nName: 3738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569078803473006, std values: 4.676629051988613, min values: 3.6088e-08, max values: 37.05, median values: 0.23387, and quantile values: 0.25 0.057552\n0.50 0.233870\n0.75 1.156100\nName: 3739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9793779608408806, std values: 5.4121767316719565, min values: 5.3247e-06, max values: 42.125, median values: 0.35226, and quantile values: 0.25 0.10647\n0.50 0.35226\n0.75 1.38610\nName: 3740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900334768761635, std values: 4.73004154805847, min values: 8.0191e-07, max values: 38.357, median values: 0.18406, and quantile values: 0.25 0.050929\n0.50 0.184060\n0.75 0.843115\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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0.2216, and quantile values: 0.25 0.067724\n0.50 0.221600\n0.75 0.892630\nName: 3745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3439935768498743, std values: 5.000553393931186, min values: 7.7123e-07, max values: 42.173, median values: 0.13514, and quantile values: 0.25 0.046931\n0.50 0.135140\n0.75 0.753460\nName: 3746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822579656694968, std values: 4.7997258671879, min values: 6.6685e-07, max values: 37.097, median values: 0.25123, and quantile values: 0.25 0.066055\n0.50 0.251230\n0.75 1.040970\nName: 3747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285581475618088, std values: 4.494127989242177, min values: 6.5356e-08, max values: 36.139, median values: 0.16252, and quantile values: 0.25 0.036838\n0.50 0.162520\n0.75 0.773485\nName: 3748, dtype: float64, 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39.742, median values: 0.25568, and quantile values: 0.25 0.076412\n0.50 0.255680\n0.75 0.926440\nName: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5314765708666669, std values: 5.025680143892017, min values: 6.057e-07, max values: 42.231, median values: 0.23087, and quantile values: 0.25 0.064973\n0.50 0.230870\n0.75 0.947090\nName: 3853, 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: 3854, 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: 3855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5432038167664779, std values: 4.84618104768507, min values: 2.6477e-07, max values: 38.352, median values: 0.20505, and quantile values: 0.25 0.061141\n0.50 0.205050\n0.75 0.968875\nName: 3856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444931087378616, std values: 5.177525159771927, min values: 2.4859e-06, max values: 44.322, median values: 0.22895, and quantile values: 0.25 0.058049\n0.50 0.228950\n0.75 0.878580\nName: 3857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38567401283522, std values: 4.709548911499525, min values: 1.4346e-06, max values: 39.255, median values: 0.17455, and quantile values: 0.25 0.05775\n0.50 0.17455\n0.75 0.81939\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.24677, and quantile values: 0.25 0.064776\n0.50 0.246770\n0.75 0.964295\nName: 3862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3144267293962264, std values: 4.937266728614488, min values: 2.0093e-06, max values: 39.976, median values: 0.16087, and quantile values: 0.25 0.051221\n0.50 0.160870\n0.75 0.650530\nName: 3863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589595011709434, std values: 5.10982394001677, min values: 1.8674e-06, max values: 41.942, median values: 0.23646, and quantile values: 0.25 0.062266\n0.50 0.236460\n0.75 1.005970\nName: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3510028017415094, std values: 4.769250256170123, min values: 1.7666e-06, max values: 38.826, median values: 0.19406, and quantile values: 0.25 0.061900\n0.50 0.194060\n0.75 0.780765\nName: 3865, dtype: 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1.412514348403522, std values: 4.648194853762391, min values: 1.7406e-07, max values: 37.553, median values: 0.19434, and quantile values: 0.25 0.056819\n0.50 0.194340\n0.75 0.884550\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6241291881248427, std values: 5.129811609888032, min values: 6.9795e-07, max values: 42.745, median values: 0.27578, and quantile values: 0.25 0.066709\n0.50 0.275780\n0.75 1.067500\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349819570534591, std values: 4.669486931688509, min values: 1.2424e-06, max values: 37.963, median values: 0.16446, and quantile values: 0.25 0.051817\n0.50 0.164460\n0.75 0.730050\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3481467687802455, std values: 4.793278432519675, min values: 2.1359e-08, max values: 39.263, median values: 0.18597, and quantile values: 0.25 0.050532\n0.50 0.185970\n0.75 0.740580\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3254246997056602, std values: 4.822887851570914, min values: 1.5848e-06, max values: 39.968, median values: 0.20157, and quantile values: 0.25 0.056316\n0.50 0.201570\n0.75 0.780960\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5962299649855347, std values: 5.1096358025047275, min values: 2.8397e-06, max values: 41.033, median values: 0.26925, and quantile values: 0.25 0.08296\n0.50 0.26925\n0.75 0.97913\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6753367299238997, std values: 5.28670378516762, min values: 2.9999e-06, max values: 44.072, median values: 0.27193, and quantile values: 0.25 0.072449\n0.50 0.271930\n0.75 1.136100\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541732389198742, std values: 4.847264495196812, min values: 9.535e-07, max values: 38.099, median values: 0.24715, and quantile values: 0.25 0.065899\n0.50 0.247150\n0.75 0.995585\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3557349136248427, std values: 4.8076989563818, min values: 7.3345e-07, max values: 38.787, median values: 0.18003, and quantile values: 0.25 0.053223\n0.50 0.180030\n0.75 0.815875\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4549012009710691, std values: 4.822772247243776, min values: 1.2083e-06, max values: 38.155, median values: 0.18607, and quantile values: 0.25 0.053618\n0.50 0.186070\n0.75 0.839645\nName: 3878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461240773048019, std values: 4.731477822786151, min values: 2.1535e-08, max values: 37.281, median values: 0.2273, and quantile values: 0.25 0.062652\n0.50 0.227300\n0.75 0.993330\nName: 3879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5504696275075471, std values: 5.070656181703025, min values: 1.3783e-06, max values: 42.082, median values: 0.23494, and quantile values: 0.25 0.070602\n0.50 0.234940\n0.75 0.991230\nName: 3880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4489857955132075, std values: 4.956013230761996, min values: 1.6972e-06, max values: 39.993, median values: 0.22759, and quantile values: 0.25 0.066266\n0.50 0.227590\n0.75 0.886040\nName: 3881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600302261725912, std values: 5.0374663328356855, min values: 6.9402e-07, max values: 41.07, median 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