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0.26827, and quantile values: 0.25 0.075902\n0.50 0.268270\n0.75 1.150550\nName: 931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425141288171071, std values: 4.799637709869757, min values: 3.5052e-07, max values: 37.819, median values: 0.20309, and quantile values: 0.25 0.057868\n0.50 0.203090\n0.75 0.998315\nName: 932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4035863112235218, std values: 4.667316879721084, min values: 2.5484e-07, max values: 36.989, median values: 0.22498, and quantile values: 0.25 0.052996\n0.50 0.224980\n0.75 0.847005\nName: 933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6192392378, std values: 5.034518802730866, min values: 1.8073e-06, max values: 39.535, median values: 0.28375, and quantile values: 0.25 0.067607\n0.50 0.283750\n0.75 1.082855\nName: 934, dtype: float64, 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values: 0.2008, and quantile values: 0.25 0.066175\n0.50 0.200800\n0.75 0.908400\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4824232046353456, std values: 4.98641054446716, min values: 7.6742e-07, max values: 41.619, median values: 0.25096, and quantile values: 0.25 0.059998\n0.50 0.250960\n0.75 0.921830\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476183209276101, std values: 4.784057595344162, min values: 2.6429e-06, max values: 39.06, median values: 0.2343, and quantile values: 0.25 0.066985\n0.50 0.234300\n0.75 0.904985\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.81077247901761, std values: 5.160286031674463, min values: 3.4481e-06, max values: 40.237, median values: 0.31087, and quantile values: 0.25 0.084773\n0.50 0.310870\n0.75 1.273850\nName: 1268, dtype: float64, 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values: 0.25 0.078573\n0.50 0.252820\n0.75 1.012050\nName: 1532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4651560784167295, std values: 4.955703053541982, min values: 9.7896e-07, max values: 40.664, median values: 0.23088, and quantile values: 0.25 0.060448\n0.50 0.230880\n0.75 0.859270\nName: 1533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596231719135849, std values: 5.200757552457732, min values: 3.0888e-06, max values: 42.697, median values: 0.26809, and quantile values: 0.25 0.063632\n0.50 0.268090\n0.75 1.016850\nName: 1534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992656167069182, std values: 4.691317633274773, min values: 8.626e-07, max values: 38.34, median values: 0.2129, and quantile values: 0.25 0.05526\n0.50 0.21290\n0.75 0.79805\nName: 1535, dtype: float64, respectively.", "A sample 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0.974775\nName: 1662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5742008002630188, std values: 5.117742646102787, min values: 5.3022e-07, max values: 43.461, median values: 0.22466, and quantile values: 0.25 0.058068\n0.50 0.224660\n0.75 1.058450\nName: 1663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2849596460038364, std values: 4.748259281266679, min values: 1.4921e-07, max values: 39.164, median values: 0.1636, and quantile values: 0.25 0.048105\n0.50 0.163600\n0.75 0.679370\nName: 1664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.724410754079874, std values: 5.224387574796803, min values: 4.5502e-06, max values: 41.665, median values: 0.26927, and quantile values: 0.25 0.073139\n0.50 0.269270\n0.75 1.106300\nName: 1665, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.761645\nName: 2206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115029997993713, std values: 4.990637855628742, min values: 1.0215e-06, max values: 40.146, median values: 0.25352, and quantile values: 0.25 0.069721\n0.50 0.253520\n0.75 1.064180\nName: 2207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3206767098553083, std values: 4.560591258384282, min values: 1.9394e-08, max values: 37.698, median values: 0.18899, and quantile values: 0.25 0.047216\n0.50 0.188990\n0.75 0.781470\nName: 2208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.328284687216352, std values: 4.995348257293768, min values: 2.13e-06, max values: 41.307, median values: 0.18844, and quantile values: 0.25 0.053225\n0.50 0.188440\n0.75 0.681255\nName: 2209, dtype: float64, respectively.", "A sample with 159 features representing metab data 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values: 0.31438, and quantile values: 0.25 0.077168\n0.50 0.314380\n0.75 1.188250\nName: 2470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4226897366459121, std values: 4.852888556869749, min values: 2.2479e-06, max values: 38.971, median values: 0.23399, and quantile values: 0.25 0.063975\n0.50 0.233990\n0.75 0.867285\nName: 2471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430593998030868, std values: 4.706263032600431, min values: 2.0108e-08, max values: 38.208, median values: 0.2154, and quantile values: 0.25 0.054015\n0.50 0.215400\n0.75 0.895280\nName: 2472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6367996079842768, std values: 5.080229750924004, min values: 3.7995e-06, max values: 40.366, median values: 0.26194, and quantile values: 0.25 0.071533\n0.50 0.261940\n0.75 0.992220\nName: 2473, dtype: 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representing metab data with mean values: 1.7828993722622641, std values: 5.12048822027724, min values: 3.5025e-06, max values: 39.994, median values: 0.29644, and quantile values: 0.25 0.087458\n0.50 0.296440\n0.75 1.236900\nName: 2744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150575189830188, std values: 4.916085939574904, min values: 4.2517e-06, max values: 40.184, median values: 0.18505, and quantile values: 0.25 0.057505\n0.50 0.185050\n0.75 0.743840\nName: 2745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3256205943256605, std values: 4.855276724882056, min values: 3.9058e-07, max values: 40.792, median values: 0.1936, and quantile values: 0.25 0.057063\n0.50 0.193600\n0.75 0.714885\nName: 2746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9455111142427672, std values: 5.6260844341185425, min values: 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41.82, median values: 0.27763, and quantile values: 0.25 0.063899\n0.50 0.277630\n0.75 1.126800\nName: 2867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421678838856289, std values: 4.9133057800848, min values: 6.259e-07, max values: 39.671, median values: 0.17781, and quantile values: 0.25 0.04980\n0.50 0.17781\n0.75 0.80209\nName: 2868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551362209754088, std values: 4.893732383841446, min values: 1.2629e-06, max values: 39.032, median values: 0.23143, and quantile values: 0.25 0.068319\n0.50 0.231430\n0.75 1.007395\nName: 2869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46969647581195, std values: 5.04090239748104, min values: 1.5467e-06, max values: 41.773, median values: 0.21202, and quantile values: 0.25 0.062247\n0.50 0.212020\n0.75 0.866050\nName: 2870, 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values: 0.25036, and quantile values: 0.25 0.069018\n0.50 0.250360\n0.75 0.941000\nName: 2877, 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: 2878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.323322713507107, std values: 4.806582627135792, min values: 8.3853e-07, max values: 39.091, median values: 0.1818, and quantile values: 0.25 0.054971\n0.50 0.181800\n0.75 0.721135\nName: 2879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465654935339623, std values: 4.847293127708692, min values: 7.08e-07, max values: 38.089, median values: 0.24924, and quantile values: 0.25 0.062816\n0.50 0.249240\n0.75 1.004295\nName: 2880, dtype: 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0.23716\n0.75 0.95343\nName: 3054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4449228565701884, std values: 4.785108075426161, min values: 5.3556e-07, max values: 38.031, median values: 0.21481, and quantile values: 0.25 0.057244\n0.50 0.214810\n0.75 0.813475\nName: 3055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4691411038735849, std values: 5.058987153684649, min values: 7.6873e-06, max values: 42.271, median values: 0.20775, and quantile values: 0.25 0.055928\n0.50 0.207750\n0.75 0.737130\nName: 3056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329402936507547, std values: 4.655940289493132, min values: 4.1477e-06, max values: 40.467, median values: 0.19442, and quantile values: 0.25 0.062738\n0.50 0.194420\n0.75 0.712840\nName: 3057, dtype: float64, respectively.", "A sample with 159 features 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7.2505e-07, max values: 37.661, median values: 0.2661, and quantile values: 0.25 0.06829\n0.50 0.26610\n0.75 1.05645\nName: 3061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075355235761008, std values: 4.940691856908382, min values: 2.8041e-06, max values: 39.358, median values: 0.23908, and quantile values: 0.25 0.072947\n0.50 0.239080\n0.75 0.920650\nName: 3062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3463490179663522, std values: 4.863385864875439, min values: 6.3095e-07, max values: 39.686, median values: 0.17468, and quantile values: 0.25 0.056598\n0.50 0.174680\n0.75 0.770675\nName: 3063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6445614333811323, std values: 5.1189160546524315, min values: 4.8125e-06, max values: 40.139, median values: 0.24713, and quantile values: 0.25 0.083176\n0.50 0.247130\n0.75 0.999965\nName: 3064, 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: 3065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629034519271069, std values: 4.889545271538303, min values: 4.1343e-06, max values: 40.331, median values: 0.25479, and quantile values: 0.25 0.077235\n0.50 0.254790\n0.75 1.040600\nName: 3066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5916542181320754, std values: 5.091617085225845, min values: 2.5995e-06, max values: 40.503, median values: 0.28281, and quantile values: 0.25 0.070844\n0.50 0.282810\n0.75 0.990605\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4400290576943398, std values: 4.860461288064301, min values: 2.2601e-06, max values: 39.223, median values: 0.20792, and quantile values: 0.25 0.061689\n0.50 0.207920\n0.75 0.853110\nName: 3068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495286224578931, std values: 4.729980452357043, min values: 9.9355e-07, max values: 38.405, median values: 0.21607, and quantile values: 0.25 0.05929\n0.50 0.21607\n0.75 0.99657\nName: 3069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893477567224906, std values: 4.682317056645275, min values: 3.0876e-08, max values: 37.145, median values: 0.22326, and quantile values: 0.25 0.05764\n0.50 0.22326\n0.75 1.05925\nName: 3070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4576911439911948, std values: 4.964481683047541, min values: 1.5901e-06, max values: 39.862, median values: 0.21603, and quantile values: 0.25 0.065965\n0.50 0.216030\n0.75 0.897595\nName: 3071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3673224053735347, std values: 4.786976426983556, min values: 1.7952e-08, max values: 39.096, median values: 0.16762, and quantile values: 0.25 0.040913\n0.50 0.167620\n0.75 0.743020\nName: 3072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636687638519497, std values: 4.997550885325857, min values: 4.6727e-06, max values: 40.643, median values: 0.27236, and quantile values: 0.25 0.083822\n0.50 0.272360\n0.75 1.057100\nName: 3073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438637162022013, std values: 4.783010401977188, min values: 1.2305e-07, max values: 37.545, median values: 0.25698, and quantile values: 0.25 0.063147\n0.50 0.256980\n0.75 0.985040\nName: 3074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6435941285452833, std values: 5.214759138979072, min values: 3.7074e-06, max values: 41.866, median values: 0.24453, and quantile values: 0.25 0.074445\n0.50 0.244530\n0.75 1.001915\nName: 3075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413060662400629, std values: 4.906728376586852, min values: 2.0129e-06, max values: 39.501, median values: 0.19739, and quantile values: 0.25 0.058888\n0.50 0.197390\n0.75 0.805375\nName: 3076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578813433454717, std values: 5.23305492113264, min values: 4.5637e-06, max values: 42.998, median values: 0.23439, and quantile values: 0.25 0.065795\n0.50 0.234390\n0.75 0.915170\nName: 3077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326052329631446, std values: 4.791292157168129, min values: 2.7154e-07, max values: 39.276, median values: 0.16773, and quantile values: 0.25 0.043462\n0.50 0.167730\n0.75 0.743320\nName: 3078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284456513129371, std values: 4.813299927932792, min values: 2.8027e-07, max values: 39.749, median values: 0.15309, and quantile values: 0.25 0.040889\n0.50 0.153090\n0.75 0.655325\nName: 3079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4476360640924528, std values: 4.99801719455833, min values: 1.3907e-06, max values: 41.361, median values: 0.20304, and quantile values: 0.25 0.064825\n0.50 0.203040\n0.75 0.852800\nName: 3080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3191832035629558, std values: 4.823039813788944, min values: 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40.364, median values: 0.27475, and quantile values: 0.25 0.05944\n0.50 0.27475\n0.75 1.01570\nName: 3278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148301880396228, std values: 4.882641506911618, min values: 1.702e-06, max values: 39.086, median values: 0.20731, and quantile values: 0.25 0.061558\n0.50 0.207310\n0.75 0.838315\nName: 3279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645324935534593, std values: 5.2692029110811465, min values: 3.314e-06, max values: 43.232, median values: 0.2789, and quantile values: 0.25 0.083644\n0.50 0.278900\n0.75 0.993550\nName: 3280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3899997537080504, std values: 4.915538698305032, min values: 7.7218e-07, max values: 40.559, median values: 0.19018, and quantile values: 0.25 0.057305\n0.50 0.190180\n0.75 0.794250\nName: 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representing metab data with mean values: 1.4770899875490568, std values: 4.834696197226066, min values: 3.4803e-06, max values: 39.839, median values: 0.22539, and quantile values: 0.25 0.070784\n0.50 0.225390\n0.75 0.891160\nName: 3532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4889103908880503, std values: 4.89406663095144, min values: 1.7364e-06, max values: 38.845, median values: 0.26027, and quantile values: 0.25 0.062822\n0.50 0.260270\n0.75 0.846835\nName: 3533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4628499315384904, std values: 4.906157524114699, min values: 8.7452e-07, max values: 40.525, median values: 0.22304, and quantile values: 0.25 0.061491\n0.50 0.223040\n0.75 0.888555\nName: 3534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100576966383647, std values: 4.643049540055949, min values: 1.0292e-06, max values: 38.699, median values: 0.20441, and quantile values: 0.25 0.059186\n0.50 0.204410\n0.75 0.896225\nName: 3535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6890155702735852, std values: 5.046692499719581, min values: 4.7548e-06, max values: 40.667, median values: 0.29257, and quantile values: 0.25 0.07148\n0.50 0.29257\n0.75 1.04220\nName: 3536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2706254440314466, std values: 4.968963783586551, min values: 1.4243e-06, max values: 41.917, median values: 0.17322, and quantile values: 0.25 0.053012\n0.50 0.173220\n0.75 0.639725\nName: 3537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6816663697924528, std values: 5.16483563105114, min values: 6.395e-06, max values: 41.092, median values: 0.26873, and quantile values: 0.25 0.08134\n0.50 0.26873\n0.75 1.07535\nName: 3538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3011103015233334, std values: 4.953713307422072, min values: 7.0391e-07, max values: 42.302, median values: 0.17302, and quantile values: 0.25 0.050284\n0.50 0.173020\n0.75 0.665960\nName: 3539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5986094376710691, std values: 4.916479649567329, min values: 3.0469e-06, max values: 40.285, median values: 0.25965, and quantile values: 0.25 0.068933\n0.50 0.259650\n0.75 1.035700\nName: 3540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5506999003910062, std values: 4.968349709346442, min values: 3.0987e-07, max values: 40.957, median values: 0.25831, and quantile values: 0.25 0.063664\n0.50 0.258310\n0.75 1.013950\nName: 3541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5045747388301887, std values: 5.009834943285374, min values: 1.6377e-06, max values: 39.928, median values: 0.22469, and quantile values: 0.25 0.059412\n0.50 0.224690\n0.75 0.941810\nName: 3542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170875269773586, std values: 5.066067326674593, min values: 1.7168e-06, max values: 41.963, median values: 0.18567, and quantile values: 0.25 0.055135\n0.50 0.185670\n0.75 0.765605\nName: 3543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3634921710436476, std values: 4.908971395656653, min values: 2.4064e-07, max values: 40.455, median values: 0.16634, and quantile values: 0.25 0.042717\n0.50 0.166340\n0.75 0.737265\nName: 3544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746349024207547, std values: 4.9740586052381035, min values: 3.1129e-06, max values: 39.346, median values: 0.26779, and quantile values: 0.25 0.077103\n0.50 0.267790\n0.75 0.984525\nName: 3545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7214337459735598, std values: 4.891422927082235, min values: 7.2196e-08, max values: 37.636, median values: 0.28348, and quantile values: 0.25 0.064217\n0.50 0.283480\n0.75 1.168000\nName: 3546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5870763633192455, std values: 4.950731828948256, min values: 7.1786e-07, max values: 38.961, median values: 0.22523, and quantile values: 0.25 0.06391\n0.50 0.22523\n0.75 1.05525\nName: 3547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704644821610692, std values: 4.757184148394323, min values: 1.4581e-07, max values: 37.182, median values: 0.17476, and quantile values: 0.25 0.052547\n0.50 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0.280260\n0.75 1.132750\nName: 3608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4270347426522012, std values: 4.600898955303477, min values: 1.0953e-06, max values: 37.792, median values: 0.21296, and quantile values: 0.25 0.064801\n0.50 0.212960\n0.75 0.898310\nName: 3609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821224885031445, std values: 5.092657691594192, min values: 2.4359e-06, max values: 42.082, median values: 0.23257, and quantile values: 0.25 0.06146\n0.50 0.23257\n0.75 0.88225\nName: 3610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5724837049201257, std values: 5.126572874921529, min values: 1.0568e-06, max values: 43.126, median values: 0.24533, and quantile values: 0.25 0.070099\n0.50 0.245330\n0.75 0.987080\nName: 3611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3073637914135852, std values: 4.842825284635842, min values: 7.1826e-07, max values: 39.418, median values: 0.15411, and quantile values: 0.25 0.054420\n0.50 0.154110\n0.75 0.723645\nName: 3612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524198346693082, std values: 4.909947296218573, min values: 1.4219e-06, max values: 38.618, median values: 0.22587, and quantile values: 0.25 0.060083\n0.50 0.225870\n0.75 0.999510\nName: 3613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7465185830668553, std values: 5.101444872434611, min values: 9.5043e-07, max values: 40.557, median values: 0.29523, and quantile values: 0.25 0.083608\n0.50 0.295230\n0.75 1.266050\nName: 3614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4545534766678614, std values: 4.770791829960299, min values: 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0.206830\n0.75 0.816190\nName: 3678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251254077088052, std values: 5.06330501883687, min values: 1.9691e-06, max values: 41.089, median values: 0.22113, and quantile values: 0.25 0.065878\n0.50 0.221130\n0.75 0.916480\nName: 3679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101439716251697, std values: 4.393528166142033, min values: 2.6022e-08, max values: 36.311, median values: 0.17309, and quantile values: 0.25 0.038288\n0.50 0.173090\n0.75 0.729510\nName: 3680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266742548333335, std values: 4.928707818558386, min values: 7.045e-07, max values: 40.114, median values: 0.18857, and quantile values: 0.25 0.064622\n0.50 0.188570\n0.75 0.829200\nName: 3681, dtype: float64, respectively.", "A sample with 159 features 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0.149690\n0.75 0.617575\nName: 3728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184886604446918, std values: 5.0585110820881605, min values: 3.4006e-08, max values: 42.083, median values: 0.233, and quantile values: 0.25 0.06615\n0.50 0.23300\n0.75 1.03492\nName: 3729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5849536263911952, std values: 4.982498495287164, min values: 2.2886e-06, max values: 39.472, median values: 0.26171, and quantile values: 0.25 0.077464\n0.50 0.261710\n0.75 1.023950\nName: 3730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2914639841383648, std values: 4.729825048271066, min values: 1.7187e-06, max values: 38.838, median values: 0.17852, and quantile values: 0.25 0.055788\n0.50 0.178520\n0.75 0.630525\nName: 3731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3756741989216477, std values: 4.8955508615356, min values: 2.4665e-08, max values: 42.62, median values: 0.15595, and quantile values: 0.25 0.036631\n0.50 0.155950\n0.75 0.713805\nName: 3732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3033959086691824, std values: 4.6127849961840015, min values: 2.9167e-07, max values: 36.594, median values: 0.15919, and quantile values: 0.25 0.049031\n0.50 0.159190\n0.75 0.715460\nName: 3733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5948449413157233, std values: 5.004577683875167, min values: 2.2802e-06, max values: 39.519, median values: 0.26597, and quantile values: 0.25 0.070853\n0.50 0.265970\n0.75 1.004250\nName: 3734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3424923081125786, std values: 4.894044654523941, min values: 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0.198070\n0.75 0.802345\nName: 3738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4384807065679246, std values: 4.922596957254387, min values: 2.0545e-06, max values: 40.252, median values: 0.22248, and quantile values: 0.25 0.06206\n0.50 0.22248\n0.75 0.78684\nName: 3739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3591983496150315, std values: 4.687823789030778, min values: 1.7729e-07, max values: 37.307, median values: 0.21091, and quantile values: 0.25 0.055735\n0.50 0.210910\n0.75 0.825015\nName: 3740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3238300479890563, std values: 4.620059354623251, min values: 2.9237e-07, max values: 36.571, median values: 0.18239, and quantile values: 0.25 0.051251\n0.50 0.182390\n0.75 0.717980\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007408946530314, std values: 4.988428697910444, min values: 5.8432e-08, max values: 41.777, median values: 0.19085, and quantile values: 0.25 0.052945\n0.50 0.190850\n0.75 0.868145\nName: 3742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508386296872956, std values: 5.058393156326631, min values: 1.6934e-06, max values: 42.581, median values: 0.24821, and quantile values: 0.25 0.066831\n0.50 0.248210\n0.75 0.949610\nName: 3743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3240095459827044, std values: 4.860952671413406, min values: 7.3975e-07, max values: 39.595, median values: 0.17755, and quantile values: 0.25 0.048218\n0.50 0.177550\n0.75 0.729320\nName: 3744, 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: 3745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531169444354717, std values: 4.850564164185764, min values: 6.5914e-07, max values: 39.029, median values: 0.21417, and quantile values: 0.25 0.062884\n0.50 0.214170\n0.75 0.910235\nName: 3746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819684713654087, std values: 4.975932223905278, min values: 1.4082e-06, max values: 40.355, median values: 0.20678, and quantile values: 0.25 0.059918\n0.50 0.206780\n0.75 0.862400\nName: 3747, 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 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3788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623484152060312, std values: 4.87485923357055, min values: 8.3959e-08, max values: 41.068, median values: 0.17766, and quantile values: 0.25 0.051671\n0.50 0.177660\n0.75 0.720810\nName: 3789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5133081438238996, std values: 4.98859099881633, min values: 3.1013e-06, max values: 39.855, median values: 0.25314, and quantile values: 0.25 0.066494\n0.50 0.253140\n0.75 0.941835\nName: 3790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4903883315610063, std values: 4.70959209171766, min values: 1.1164e-06, max values: 37.765, median values: 0.23302, and quantile values: 0.25 0.070849\n0.50 0.233020\n0.75 0.934400\nName: 3791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.22166, and quantile values: 0.25 0.063586\n0.50 0.221660\n0.75 0.899340\nName: 3795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868769087660378, std values: 4.911412369266398, min values: 2.2123e-06, max values: 39.56, median values: 0.1931, and quantile values: 0.25 0.056866\n0.50 0.193100\n0.75 0.790745\nName: 3796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3920975881071698, std values: 4.818124841680669, min values: 2.545e-07, max values: 39.592, median values: 0.20146, and quantile values: 0.25 0.049577\n0.50 0.201460\n0.75 0.793410\nName: 3797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4993161065234213, std values: 5.036890377378929, min values: 2.2814e-08, max values: 43.379, median values: 0.19188, and quantile values: 0.25 0.044595\n0.50 0.191880\n0.75 0.822935\nName: 3798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2698985131220126, std values: 4.625210496596967, min values: 1.157e-06, max values: 37.828, median values: 0.17075, and quantile values: 0.25 0.056712\n0.50 0.170750\n0.75 0.649975\nName: 3799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2356332160255346, std values: 4.5522696355521015, min values: 8.4846e-07, max values: 38.92, median values: 0.15866, and quantile values: 0.25 0.046021\n0.50 0.158660\n0.75 0.643620\nName: 3800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637543995867928, std values: 4.906280504544041, min values: 5.718e-07, max values: 40.168, median values: 0.24102, and quantile values: 0.25 0.061741\n0.50 0.241020\n0.75 0.910710\nName: 3801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.2325, and quantile values: 0.25 0.057104\n0.50 0.232500\n0.75 0.865780\nName: 3805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659186773637105, std values: 5.043423212800159, min values: 7.7913e-07, max values: 43.229, median values: 0.23778, and quantile values: 0.25 0.066763\n0.50 0.237780\n0.75 0.855990\nName: 3806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6188533784955976, std values: 5.397372297329038, min values: 3.0588e-06, max values: 46.551, median values: 0.27547, and quantile values: 0.25 0.065893\n0.50 0.275470\n0.75 0.942960\nName: 3807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216782067056605, std values: 4.754782778944674, min values: 1.7179e-06, max values: 38.963, median values: 0.19835, and quantile values: 0.25 0.057452\n0.50 0.198350\n0.75 0.759860\nName: 3808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4380034711561072, std values: 4.966876953578513, min values: 2.9381e-08, max values: 42.869, median values: 0.19875, and quantile values: 0.25 0.041593\n0.50 0.198750\n0.75 0.762065\nName: 3809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406854360283585, std values: 4.718158137009881, min values: 4.0319e-07, max values: 37.848, median values: 0.21399, and quantile values: 0.25 0.061834\n0.50 0.213990\n0.75 0.863430\nName: 3810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553540102320756, std values: 5.05420296303885, min values: 2.961e-06, max values: 41.598, median values: 0.19579, and quantile values: 0.25 0.059642\n0.50 0.195790\n0.75 0.677685\nName: 3811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4579757835246543, std values: 4.737818689183812, min values: 1.963e-08, max values: 37.619, median values: 0.19502, and quantile values: 0.25 0.047415\n0.50 0.195020\n0.75 0.829610\nName: 3812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5023027946584904, std values: 4.931899066934347, min values: 1.9111e-06, max values: 39.973, median values: 0.22417, and quantile values: 0.25 0.059743\n0.50 0.224170\n0.75 0.929550\nName: 3813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457605987639621, std values: 4.812747766443504, min values: 7.4917e-07, max values: 38.505, median values: 0.21434, and quantile values: 0.25 0.055840\n0.50 0.214340\n0.75 0.875165\nName: 3814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3309279562301068, std values: 4.860170602169098, min values: 9.9187e-08, max values: 39.586, median 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values: 0.25327, and quantile values: 0.25 0.070141\n0.50 0.253270\n0.75 1.106200\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5522158230867924, std values: 5.09561226376199, min values: 1.984e-06, max values: 42.376, median values: 0.24481, and quantile values: 0.25 0.067183\n0.50 0.244810\n0.75 0.932165\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267639324465409, std values: 4.692723950200116, min values: 1.3948e-06, max values: 38.438, median values: 0.2081, and quantile values: 0.25 0.055214\n0.50 0.208100\n0.75 0.915670\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49977151394522, std values: 4.924767577992391, min values: 9.9679e-07, max values: 40.281, median values: 0.21654, and quantile values: 0.25 0.063691\n0.50 0.216540\n0.75 0.909020\nName: 3878, dtype: 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values: 0.25922, and quantile values: 0.25 0.065780\n0.50 0.259220\n0.75 0.987605\nName: 3945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7670376898213838, std values: 5.074070449024081, min values: 1.978e-06, max values: 39.859, median values: 0.3126, and quantile values: 0.25 0.083682\n0.50 0.312600\n0.75 1.233900\nName: 3946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460656703635217, std values: 5.0576167745822085, min values: 1.1176e-06, max values: 41.276, median values: 0.28453, and quantile values: 0.25 0.077614\n0.50 0.284530\n0.75 1.115450\nName: 3947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701624547960375, std values: 4.718836684023787, min values: 6.2837e-07, max values: 37.816, median values: 0.22351, and quantile values: 0.25 0.063156\n0.50 0.223510\n0.75 0.945430\nName: 3948, dtype: 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