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0.055406\n0.50 0.206840\n0.75 0.886545\nName: 1061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6277810688830188, std values: 4.805113287815578, min values: 3.0112e-06, max values: 39.615, median values: 0.32448, and quantile values: 0.25 0.086808\n0.50 0.324480\n0.75 1.069300\nName: 1062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178093816484905, std values: 4.906716172027696, min values: 3.2351e-07, max values: 40.686, median values: 0.20245, and quantile values: 0.25 0.055664\n0.50 0.202450\n0.75 0.797630\nName: 1063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1398856003150943, std values: 4.536685042662076, min values: 1.3635e-06, max values: 38.871, median values: 0.11722, and quantile values: 0.25 0.035391\n0.50 0.117220\n0.75 0.483905\nName: 1064, dtype: float64, respectively.", "A sample with 159 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0.25 0.048988\n0.50 0.188050\n0.75 0.731010\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5716192976503143, std values: 5.048968801046087, min values: 1.8096e-06, max values: 41.072, median values: 0.24577, and quantile values: 0.25 0.072254\n0.50 0.245770\n0.75 0.978020\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979209098012578, std values: 4.9492075251491165, min values: 1.6537e-06, max values: 39.31, median values: 0.21529, and quantile values: 0.25 0.070481\n0.50 0.215290\n0.75 0.892255\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.286760936993522, std values: 4.45039951465968, min values: 9.3337e-07, max values: 37.826, median values: 0.17789, and quantile values: 0.25 0.054804\n0.50 0.177890\n0.75 0.727680\nName: 1271, dtype: float64, respectively.", "A sample with 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0.227140\n0.75 0.879505\nName: 1665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479652122545912, std values: 4.916688698419207, min values: 5.1204e-06, max values: 41.229, median values: 0.234, and quantile values: 0.25 0.070724\n0.50 0.234000\n0.75 0.794420\nName: 1666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6986358248880504, std values: 5.121372555088512, min values: 5.2124e-06, max values: 40.386, median values: 0.29177, and quantile values: 0.25 0.079462\n0.50 0.291770\n0.75 1.078500\nName: 1667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6426431579515726, std values: 5.184847125191334, min values: 4.3418e-06, max values: 41.419, median values: 0.24803, and quantile values: 0.25 0.073157\n0.50 0.248030\n0.75 1.004585\nName: 1668, dtype: float64, respectively.", "A sample with 159 features 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0.807970\nName: 2139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3369779765192453, std values: 4.735356469720306, min values: 3.2746e-07, max values: 38.38, median values: 0.19419, and quantile values: 0.25 0.050683\n0.50 0.194190\n0.75 0.735560\nName: 2140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6063438534496854, std values: 4.876082517655593, min values: 1.3161e-06, max values: 38.361, median values: 0.25065, and quantile values: 0.25 0.066076\n0.50 0.250650\n0.75 1.067400\nName: 2141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6575047958949685, std values: 4.968912308021552, min values: 1.0372e-06, max values: 39.04, median values: 0.25473, and quantile values: 0.25 0.06957\n0.50 0.25473\n0.75 1.12415\nName: 2142, dtype: float64, respectively.", "A sample with 159 features representing metab data 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39.307, median values: 0.17992, and quantile values: 0.25 0.056124\n0.50 0.179920\n0.75 0.781070\nName: 2333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2981730246004404, std values: 4.824169202391683, min values: 8.7247e-07, max values: 38.764, median values: 0.17836, and quantile values: 0.25 0.050823\n0.50 0.178360\n0.75 0.704645\nName: 2334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842956465421383, std values: 5.071894072650166, min values: 2.1108e-06, max values: 41.37, median values: 0.272, and quantile values: 0.25 0.077142\n0.50 0.272000\n0.75 0.989605\nName: 2335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5518048487842766, std values: 5.2867021679101, min values: 1.4726e-06, max values: 46.391, median values: 0.22159, and quantile values: 0.25 0.065565\n0.50 0.221590\n0.75 0.960620\nName: 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0.220420\n0.75 0.900390\nName: 2603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690773029773585, std values: 4.941236260165497, min values: 4.8775e-06, max values: 41.367, median values: 0.23064, and quantile values: 0.25 0.062941\n0.50 0.230640\n0.75 0.798970\nName: 2604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3221834025369874, std values: 4.91794520426469, min values: 1.8801e-08, max values: 42.997, median values: 0.1635, and quantile values: 0.25 0.03987\n0.50 0.16350\n0.75 0.64925\nName: 2605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4972694936132076, std values: 4.8779541808621945, min values: 4.8618e-06, max values: 40.363, median values: 0.24937, and quantile values: 0.25 0.070495\n0.50 0.249370\n0.75 0.901440\nName: 2606, dtype: float64, respectively.", "A sample with 159 features 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36.73, median values: 0.16047, and quantile values: 0.25 0.037861\n0.50 0.160470\n0.75 0.763100\nName: 2720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3738677399971697, std values: 5.144684939591244, min values: 3.0665e-07, max values: 45.609, median values: 0.17784, and quantile values: 0.25 0.048338\n0.50 0.177840\n0.75 0.715875\nName: 2721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3986444916130818, std values: 4.898405428038587, min values: 1.8972e-07, max values: 41.414, median values: 0.20016, and quantile values: 0.25 0.050784\n0.50 0.200160\n0.75 0.710575\nName: 2722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4944633991584904, std values: 5.161806019275491, min values: 2.13e-06, max values: 41.701, median values: 0.22078, and quantile values: 0.25 0.064134\n0.50 0.220780\n0.75 0.748425\nName: 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values: 0.28116, and quantile values: 0.25 0.078657\n0.50 0.281160\n0.75 1.055900\nName: 2730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4185628754849056, std values: 4.928217296400676, min values: 4.1361e-06, max values: 40.888, median values: 0.21301, and quantile values: 0.25 0.064528\n0.50 0.213010\n0.75 0.727140\nName: 2731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6091382111937107, std values: 5.164663998326503, min values: 1.1308e-06, max values: 43.838, median values: 0.25608, and quantile values: 0.25 0.064084\n0.50 0.256080\n0.75 0.953740\nName: 2732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267376918450942, std values: 5.078209547800672, min values: 9.2587e-07, max values: 43.649, median values: 0.21536, and quantile values: 0.25 0.056759\n0.50 0.215360\n0.75 0.834720\nName: 2733, dtype: 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values: 0.29008, and quantile values: 0.25 0.080072\n0.50 0.290080\n0.75 1.041800\nName: 2740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4686758245796854, std values: 4.85035657412102, min values: 1.9012e-07, max values: 40.481, median values: 0.21733, and quantile values: 0.25 0.046679\n0.50 0.217330\n0.75 0.872470\nName: 2741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6203735148100626, std values: 4.978661281508795, min values: 8.972e-07, max values: 39.362, median values: 0.2662, and quantile values: 0.25 0.073151\n0.50 0.266200\n0.75 1.099850\nName: 2742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7313525542179873, std values: 5.04817162190491, min values: 9.2286e-07, max values: 40.36, median values: 0.31422, and quantile values: 0.25 0.094474\n0.50 0.314220\n0.75 1.218050\nName: 2743, dtype: 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values: 0.21375, and quantile values: 0.25 0.061081\n0.50 0.213750\n0.75 0.808375\nName: 2867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.793941478693711, std values: 5.1951105874931445, min values: 3.1522e-06, max values: 40.972, median values: 0.32581, and quantile values: 0.25 0.09315\n0.50 0.32581\n0.75 1.26340\nName: 2868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5932491418861006, std values: 4.924011892406844, min values: 6.7639e-07, max values: 38.93, median values: 0.26965, and quantile values: 0.25 0.073163\n0.50 0.269650\n0.75 1.121000\nName: 2869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8167383424182388, std values: 5.257330259757632, min values: 3.7698e-06, max values: 41.263, median values: 0.33169, and quantile values: 0.25 0.089875\n0.50 0.331690\n0.75 1.301550\nName: 2870, dtype: 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0.049722\n0.50 0.174530\n0.75 0.811170\nName: 3451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2424258508333335, std values: 4.839936094512653, min values: 4.3812e-06, max values: 41.541, median values: 0.14079, and quantile values: 0.25 0.045506\n0.50 0.140790\n0.75 0.499975\nName: 3452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4621357406062894, std values: 4.681756953803909, min values: 1.1193e-06, max values: 38.66, median values: 0.2244, and quantile values: 0.25 0.063832\n0.50 0.224400\n0.75 0.931645\nName: 3453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927418450040693, std values: 4.9712300560113585, min values: 2.2877e-08, max values: 41.657, median values: 0.18094, and quantile values: 0.25 0.051021\n0.50 0.180940\n0.75 0.893925\nName: 3454, dtype: float64, respectively.", "A sample with 159 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min values: 1.9863e-06, max values: 40.164, median values: 0.22188, and quantile values: 0.25 0.053846\n0.50 0.221880\n0.75 0.881595\nName: 3458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355882643918868, std values: 4.90428540623911, min values: 1.6249e-06, max values: 39.637, median values: 0.17811, and quantile values: 0.25 0.050306\n0.50 0.178110\n0.75 0.746510\nName: 3459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6147256895610063, std values: 5.1695223850170375, min values: 7.8012e-06, max values: 41.4, median values: 0.23991, and quantile values: 0.25 0.074078\n0.50 0.239910\n0.75 0.907955\nName: 3460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7172706411245284, std values: 5.05549723852144, min values: 4.3848e-06, max values: 40.415, median values: 0.27897, and quantile values: 0.25 0.085011\n0.50 0.278970\n0.75 1.111600\nName: 3461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3026653100345913, std values: 4.883298570260449, min values: 1.5725e-06, max values: 39.954, median values: 0.18972, and quantile values: 0.25 0.054268\n0.50 0.189720\n0.75 0.707230\nName: 3462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895414083971699, std values: 4.810906158645378, min values: 2.774e-08, max values: 39.19, median values: 0.25466, and quantile values: 0.25 0.048115\n0.50 0.254660\n0.75 1.034470\nName: 3463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471314029400629, std values: 4.920972140846465, min values: 1.5213e-06, max values: 39.144, median values: 0.23357, and quantile values: 0.25 0.073023\n0.50 0.233570\n0.75 0.932020\nName: 3464, dtype: float64, respectively.", "A sample with 159 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values: 1.0668e-06, max values: 38.637, median values: 0.28305, and quantile values: 0.25 0.073199\n0.50 0.283050\n0.75 1.167050\nName: 3468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6707317687245282, std values: 4.984891155508382, min values: 2.6229e-06, max values: 39.31, median values: 0.29822, and quantile values: 0.25 0.084427\n0.50 0.298220\n0.75 1.070100\nName: 3469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7459753395182394, std values: 4.853178025375177, min values: 2.9239e-06, max values: 38.944, median values: 0.33934, and quantile values: 0.25 0.088047\n0.50 0.339340\n0.75 1.241850\nName: 3470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4611632546817612, std values: 4.915469550826263, min values: 2.3153e-06, max values: 39.946, median values: 0.22132, and quantile values: 0.25 0.066416\n0.50 0.221320\n0.75 0.845480\nName: 3471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8043064217905662, std values: 5.134019122869409, min values: 4.4194e-06, max values: 39.936, median values: 0.3084, and quantile values: 0.25 0.080334\n0.50 0.308400\n0.75 1.252300\nName: 3472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546547213916352, std values: 5.0113485569660146, min values: 4.1954e-06, max values: 39.477, median values: 0.24803, and quantile values: 0.25 0.073311\n0.50 0.248030\n0.75 0.882710\nName: 3473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600475651355346, std values: 5.095357943597066, min values: 2.5609e-06, max values: 40.248, median values: 0.26119, and quantile values: 0.25 0.069749\n0.50 0.261190\n0.75 1.037700\nName: 3474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546308964132327, std values: 4.846135561087534, min values: 1.1854e-07, max values: 38.951, median values: 0.24726, and quantile values: 0.25 0.066879\n0.50 0.247260\n0.75 1.032350\nName: 3475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3823475165503776, std values: 4.570431254364385, min values: 4.7511e-07, max values: 37.853, median values: 0.2196, and quantile values: 0.25 0.062885\n0.50 0.219600\n0.75 0.851005\nName: 3476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572099121613206, std values: 4.812434115571242, min values: 9.6145e-07, max values: 38.668, median values: 0.16814, and quantile values: 0.25 0.053377\n0.50 0.168140\n0.75 0.765745\nName: 3477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361504228333333, std values: 4.7231253987049175, min values: 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39.217, median values: 0.24394, and quantile values: 0.25 0.075349\n0.50 0.243940\n0.75 0.903320\nName: 3538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6421154587964153, std values: 5.107670320371029, min values: 8.4223e-07, max values: 42.299, median values: 0.25266, and quantile values: 0.25 0.061723\n0.50 0.252660\n0.75 1.078550\nName: 3539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350432721427671, std values: 5.081788660032476, min values: 3.0652e-06, max values: 40.817, median values: 0.25791, and quantile values: 0.25 0.067533\n0.50 0.257910\n0.75 0.890270\nName: 3540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559868907787346, std values: 4.965345988640288, min values: 3.5948e-08, max values: 41.596, median values: 0.19604, and quantile values: 0.25 0.048037\n0.50 0.196040\n0.75 1.007560\nName: 3541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3371477185325786, std values: 4.698070740056318, min values: 4.1448e-07, max values: 38.674, median values: 0.18904, and quantile values: 0.25 0.048272\n0.50 0.189040\n0.75 0.746895\nName: 3542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367649468563082, std values: 4.789573348754419, min values: 6.1613e-07, max values: 38.299, median values: 0.19025, and quantile values: 0.25 0.052959\n0.50 0.190250\n0.75 0.804435\nName: 3543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6211054282566038, std values: 5.098953506434396, min values: 1.1073e-06, max values: 42.001, median values: 0.23981, and quantile values: 0.25 0.066327\n0.50 0.239810\n0.75 1.050210\nName: 3544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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values: 0.22363, and quantile values: 0.25 0.069293\n0.50 0.223630\n0.75 0.914285\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3372615516320125, std values: 4.655309850593574, min values: 2.4619e-07, max values: 37.581, median values: 0.1932, and quantile values: 0.25 0.062669\n0.50 0.193200\n0.75 0.762745\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5335775932880504, std values: 4.854014567829072, min values: 1.7923e-06, max values: 38.867, median values: 0.25872, and quantile values: 0.25 0.061993\n0.50 0.258720\n0.75 0.991365\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836500816055975, std values: 4.990075076652603, min values: 7.1429e-07, max values: 40.829, median values: 0.23471, and quantile values: 0.25 0.059609\n0.50 0.234710\n0.75 0.856705\nName: 3861, dtype: 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1.5656694684907233, std values: 4.770408579318446, min values: 4.5375e-08, max values: 36.931, median values: 0.23154, and quantile values: 0.25 0.059786\n0.50 0.231540\n0.75 1.075300\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5139435171962263, std values: 4.995186874472484, min values: 1.1086e-06, max values: 40.845, median values: 0.24924, and quantile values: 0.25 0.065129\n0.50 0.249240\n0.75 0.858470\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698621153580502, std values: 4.687880719577941, min values: 8.1173e-07, max values: 37.915, median values: 0.22576, and quantile values: 0.25 0.065361\n0.50 0.225760\n0.75 0.973140\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526689295830192, std values: 5.01583926284423, min values: 1.7843e-06, max values: 40.313, median values: 0.24367, and quantile values: 0.25 0.070153\n0.50 0.243670\n0.75 0.959350\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486178986718239, std values: 4.893743040312249, min values: 2.1649e-06, max values: 38.896, median values: 0.25652, and quantile values: 0.25 0.077819\n0.50 0.256520\n0.75 0.858420\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689985940518868, std values: 5.3901717191680145, min values: 1.1769e-06, max values: 47.049, median values: 0.26571, and quantile values: 0.25 0.067211\n0.50 0.265710\n0.75 1.117400\nName: 3870, 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: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2160890069602517, std values: 4.369798576735038, min values: 2.485e-08, max values: 36.067, median values: 0.15969, and quantile values: 0.25 0.043243\n0.50 0.159690\n0.75 0.717285\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52679053521761, std values: 4.855215169053993, min values: 2.7093e-06, max values: 39.732, median values: 0.22917, and quantile values: 0.25 0.069329\n0.50 0.229170\n0.75 0.998790\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2433294711503142, std values: 4.5408145069313735, min values: 1.0625e-06, max values: 37.894, median values: 0.17877, and quantile values: 0.25 0.051918\n0.50 0.178770\n0.75 0.696510\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506225218132074, std values: 4.886817010571205, min values: 2.1786e-06, max values: 40.198, median values: 0.21112, and quantile values: 0.25 0.055711\n0.50 0.211120\n0.75 0.880375\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811740316649685, std values: 4.669543068554133, min values: 5.8893e-07, max values: 37.286, median values: 0.17056, and quantile values: 0.25 0.052413\n0.50 0.170560\n0.75 0.789950\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640899779075471, std values: 4.713855957629523, min values: 1.217e-06, max values: 38.551, median values: 0.21972, and quantile values: 0.25 0.066484\n0.50 0.219720\n0.75 0.962745\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 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0.25 0.068135\n0.50 0.230990\n0.75 0.886755\nName: 4008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342437622119497, std values: 4.926586119161318, min values: 3.541e-07, max values: 39.191, median values: 0.2685, and quantile values: 0.25 0.06660\n0.50 0.26850\n0.75 1.13465\nName: 4009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.296584587816604, std values: 4.791180883593174, min values: 4.9964e-07, max values: 39.239, median values: 0.18686, and quantile values: 0.25 0.052071\n0.50 0.186860\n0.75 0.689650\nName: 4010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571841119681132, std values: 4.82006368179351, min values: 2.7176e-06, max values: 39.903, median values: 0.24961, and quantile values: 0.25 0.066375\n0.50 0.249610\n0.75 1.024300\nName: 4011, dtype: float64, respectively.", "A sample with 159 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0.069795\n0.50 0.224140\n0.75 0.842830\nName: 4138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5338400869780502, std values: 4.992070687217495, min values: 4.9641e-07, max values: 41.461, median values: 0.19124, and quantile values: 0.25 0.046945\n0.50 0.191240\n0.75 0.885140\nName: 4139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5960890799842768, std values: 5.14193487245348, min values: 4.4475e-06, max values: 40.629, median values: 0.26309, and quantile values: 0.25 0.073275\n0.50 0.263090\n0.75 0.902625\nName: 4140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830930254327044, std values: 5.002210119314828, min values: 1.855e-06, max values: 40.718, median values: 0.26826, and quantile values: 0.25 0.064749\n0.50 0.268260\n0.75 0.965415\nName: 4141, dtype: float64, respectively.", "A sample with 159 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