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5.075715237021996, min values: 9.1409e-07, max values: 42.75, median values: 0.20648, and quantile values: 0.25 0.06305\n0.50 0.20648\n0.75 0.89856\nName: 733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3823955698446542, std values: 4.766181912779261, min values: 2.053e-06, max values: 39.166, median values: 0.20745, and quantile values: 0.25 0.063677\n0.50 0.207450\n0.75 0.814335\nName: 734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542166333919497, std values: 4.852108432307902, min values: 2.8303e-06, max values: 39.297, median values: 0.27689, and quantile values: 0.25 0.073422\n0.50 0.276890\n0.75 0.959585\nName: 735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574428471336478, std values: 5.038927944622371, min values: 3.3625e-06, max values: 39.976, median values: 0.24189, and quantile values: 0.25 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representing metab data with mean values: 1.6033885685540883, std values: 5.300597621587916, min values: 6.0487e-06, max values: 41.896, median values: 0.25477, and quantile values: 0.25 0.067993\n0.50 0.254770\n0.75 0.802180\nName: 2740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.671576765290566, std values: 5.288491854157308, min values: 6.2962e-06, max values: 41.988, median values: 0.25215, and quantile values: 0.25 0.07369\n0.50 0.25215\n0.75 0.99200\nName: 2741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6104564210748429, std values: 4.774756381507454, min values: 1.2286e-06, max values: 38.13, median values: 0.26836, and quantile values: 0.25 0.077714\n0.50 0.268360\n0.75 1.119600\nName: 2742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425932170990566, std values: 5.042658078274691, min values: 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0.890480\nName: 2806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4922255120371068, std values: 5.03541785073181, min values: 1.3092e-06, max values: 42.313, median values: 0.2333, and quantile values: 0.25 0.06887\n0.50 0.23330\n0.75 0.90491\nName: 2807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.321982268798742, std values: 4.866812190584068, min values: 1.643e-07, max values: 40.62, median values: 0.16264, and quantile values: 0.25 0.046488\n0.50 0.162640\n0.75 0.675260\nName: 2808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6190423405069183, std values: 5.100794640869204, min values: 1.3159e-06, max values: 41.735, median values: 0.27628, and quantile values: 0.25 0.071365\n0.50 0.276280\n0.75 0.988000\nName: 2809, dtype: float64, respectively.", "A sample with 159 features representing metab data with 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0.25 0.068995\n0.50 0.236900\n0.75 1.015925\nName: 3043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6055991189616354, std values: 4.927397187913792, min values: 2.0863e-06, max values: 39.514, median values: 0.24229, and quantile values: 0.25 0.072177\n0.50 0.242290\n0.75 1.063250\nName: 3044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4247225002008805, std values: 4.792318183031089, min values: 4.915e-07, max values: 38.756, median values: 0.18212, and quantile values: 0.25 0.049925\n0.50 0.182120\n0.75 0.790750\nName: 3045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7073764705622643, std values: 4.999505080970463, min values: 1.7067e-06, max values: 38.974, median values: 0.31974, and quantile values: 0.25 0.083613\n0.50 0.319740\n0.75 1.175500\nName: 3046, dtype: float64, respectively.", "A sample with 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0.060275\n0.50 0.216910\n0.75 0.894655\nName: 3053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319793064076727, std values: 5.157796835943024, min values: 9.0672e-07, max values: 45.184, median values: 0.19657, and quantile values: 0.25 0.061003\n0.50 0.196570\n0.75 0.774760\nName: 3054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4168906676031447, std values: 5.019409109716626, min values: 1.6505e-06, max values: 41.5, median values: 0.20895, and quantile values: 0.25 0.063189\n0.50 0.208950\n0.75 0.787825\nName: 3055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4118312829509434, std values: 4.992669278733564, min values: 1.8108e-06, max values: 41.13, median values: 0.20434, and quantile values: 0.25 0.057877\n0.50 0.204340\n0.75 0.794090\nName: 3056, dtype: float64, respectively.", "A sample with 159 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0.213130\n0.75 0.933855\nName: 3063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792971000182389, std values: 4.934525422622937, min values: 2.1363e-06, max values: 39.479, median values: 0.21446, and quantile values: 0.25 0.061299\n0.50 0.214460\n0.75 0.927375\nName: 3064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2664629241671885, std values: 4.684255421170412, min values: 2.1223e-08, max values: 37.731, median values: 0.17268, and quantile values: 0.25 0.039812\n0.50 0.172680\n0.75 0.683550\nName: 3065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5183790490167295, std values: 4.7479435946040605, min values: 8.7156e-07, max values: 37.096, median values: 0.2324, and quantile values: 0.25 0.069689\n0.50 0.232400\n0.75 1.002695\nName: 3066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3197773808559121, std values: 4.881229140394536, min values: 7.0849e-07, max values: 40.704, median values: 0.15846, and quantile values: 0.25 0.050517\n0.50 0.158460\n0.75 0.738270\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.677959758184277, std values: 5.066357479232484, min values: 4.642e-07, max values: 41.82, median values: 0.27763, and quantile values: 0.25 0.063899\n0.50 0.277630\n0.75 1.126800\nName: 3068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5262700015320754, std values: 4.921310777687714, min values: 1.7623e-06, max values: 38.997, median values: 0.23935, and quantile values: 0.25 0.072335\n0.50 0.239350\n0.75 0.966105\nName: 3069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3085678655188682, std values: 4.71204572788387, min values: 1.6339e-06, max values: 39.167, median values: 0.18192, and quantile values: 0.25 0.057422\n0.50 0.181920\n0.75 0.777110\nName: 3070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627228588238993, std values: 4.460610063246593, min values: 2.3375e-06, max values: 37.906, median values: 0.21534, and quantile values: 0.25 0.071934\n0.50 0.215340\n0.75 0.771140\nName: 3071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496013563792455, std values: 4.87379649614922, min values: 1.8406e-06, max values: 39.66, median values: 0.19129, and quantile values: 0.25 0.059117\n0.50 0.191290\n0.75 0.706225\nName: 3072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685400792666665, std values: 5.175322505070598, min values: 1.3378e-06, max values: 44.349, median values: 0.19708, and quantile values: 0.25 0.057595\n0.50 0.197080\n0.75 0.861695\nName: 3073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553487569881132, std values: 4.94268042690348, min values: 1.4829e-06, max values: 39.757, median values: 0.26003, and quantile values: 0.25 0.073467\n0.50 0.260030\n0.75 1.026100\nName: 3074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382881967798742, std values: 4.872920203821202, min values: 1.1507e-06, max values: 39.459, median values: 0.21189, and quantile values: 0.25 0.059514\n0.50 0.211890\n0.75 0.721055\nName: 3075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685919701502742, std values: 5.298554752717813, min values: 2.8841e-08, max values: 47.599, median values: 0.23946, and quantile values: 0.25 0.047439\n0.50 0.239460\n0.75 1.064400\nName: 3076, dtype: float64, respectively.", "A sample with 159 features 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0.25 0.06596\n0.50 0.26790\n0.75 1.04345\nName: 3317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544178046366478, std values: 5.124892404936552, min values: 9.0017e-07, max values: 43.11, median values: 0.21705, and quantile values: 0.25 0.058508\n0.50 0.217050\n0.75 0.982565\nName: 3318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750355254052139, std values: 4.993649355071509, min values: 7.2729e-08, max values: 41.783, median values: 0.22992, and quantile values: 0.25 0.061146\n0.50 0.229920\n0.75 0.884310\nName: 3319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459896858900629, std values: 4.807546229268676, min values: 1.4326e-06, max values: 39.293, median values: 0.207, and quantile values: 0.25 0.063887\n0.50 0.207000\n0.75 0.903725\nName: 3320, dtype: float64, respectively.", "A sample with 159 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0.072641\n0.50 0.265620\n0.75 1.018550\nName: 3327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316084676264151, std values: 4.833627667357173, min values: 2.1139e-06, max values: 40.026, median values: 0.21667, and quantile values: 0.25 0.063965\n0.50 0.216670\n0.75 0.768790\nName: 3328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907569453125785, std values: 5.1213307393190695, min values: 2.3519e-06, max values: 42.306, median values: 0.2619, and quantile values: 0.25 0.076009\n0.50 0.261900\n0.75 1.001525\nName: 3329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3442380401768552, std values: 4.944665625319094, min values: 5.1312e-07, max values: 42.454, median values: 0.19465, and quantile values: 0.25 0.05309\n0.50 0.19465\n0.75 0.70475\nName: 3330, dtype: float64, respectively.", "A sample with 159 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0.229600\n0.75 0.858205\nName: 3337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564233242700629, std values: 4.780417029116168, min values: 1.1271e-06, max values: 37.84, median values: 0.2787, and quantile values: 0.25 0.080146\n0.50 0.278700\n0.75 1.021450\nName: 3338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2538413588270128, std values: 4.663676552899984, min values: 7.0895e-08, max values: 37.334, median values: 0.151, and quantile values: 0.25 0.039897\n0.50 0.151000\n0.75 0.634730\nName: 3339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5311748791050313, std values: 4.832445251378149, min values: 2.1659e-06, max values: 39.313, median values: 0.27948, and quantile values: 0.25 0.075571\n0.50 0.279480\n0.75 0.969775\nName: 3340, dtype: float64, respectively.", "A sample with 159 features 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1.158950\nName: 3407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501046710919496, std values: 4.964573668149001, min values: 1.6992e-07, max values: 41.674, median values: 0.2134, and quantile values: 0.25 0.058003\n0.50 0.213400\n0.75 0.821415\nName: 3408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3749858135698114, std values: 4.808534802153794, min values: 6.259e-07, max values: 38.531, median values: 0.1731, and quantile values: 0.25 0.047908\n0.50 0.173100\n0.75 0.771030\nName: 3409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475722144264151, std values: 4.916957437517436, min values: 1.1312e-06, max values: 39.962, median values: 0.23867, and quantile values: 0.25 0.069734\n0.50 0.238670\n0.75 0.893975\nName: 3410, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.223100\n0.75 0.918040\nName: 3604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6299291998761005, std values: 4.994892229264535, min values: 1.8011e-06, max values: 39.158, median values: 0.28045, and quantile values: 0.25 0.078528\n0.50 0.280450\n0.75 1.118650\nName: 3605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624045163016981, std values: 5.172294679992731, min values: 2.0975e-06, max values: 43.348, median values: 0.27126, and quantile values: 0.25 0.069569\n0.50 0.271260\n0.75 1.018800\nName: 3606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2413213399672955, std values: 4.514260538883514, min values: 1.9798e-06, max values: 39.8, median values: 0.16336, and quantile values: 0.25 0.049411\n0.50 0.163360\n0.75 0.656485\nName: 3607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4746703556660377, std values: 4.975310340786204, min values: 3.3904e-06, max values: 40.92, median values: 0.22045, and quantile values: 0.25 0.061350\n0.50 0.220450\n0.75 0.901975\nName: 3608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5506755918207547, std values: 5.017221660852068, min values: 6.531e-07, max values: 41.139, median values: 0.21846, and quantile values: 0.25 0.062685\n0.50 0.218460\n0.75 0.985570\nName: 3609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6388363615987422, std values: 4.998719147220675, min values: 1.8849e-06, max values: 39.348, median values: 0.27175, and quantile values: 0.25 0.072984\n0.50 0.271750\n0.75 1.216300\nName: 3610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5280823423654089, std values: 5.176086318621225, min values: 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0.272110\n0.75 1.062500\nName: 3841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429881642901258, std values: 5.098100767810477, min values: 5.388e-06, max values: 41.341, median values: 0.20474, and quantile values: 0.25 0.051607\n0.50 0.204740\n0.75 0.757985\nName: 3842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8099553409220126, std values: 5.05564203414166, min values: 2.9694e-06, max values: 39.121, median values: 0.32009, and quantile values: 0.25 0.089625\n0.50 0.320090\n0.75 1.282350\nName: 3843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5917302403483018, std values: 5.164390449958466, min values: 9.1548e-07, max values: 44.238, median values: 0.27087, and quantile values: 0.25 0.07066\n0.50 0.27087\n0.75 1.03420\nName: 3844, dtype: float64, respectively.", "A sample with 159 features representing 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max values: 40.321, median values: 0.18899, and quantile values: 0.25 0.05183\n0.50 0.18899\n0.75 0.76226\nName: 3848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.705766724257233, std values: 5.082642331041837, min values: 3.5301e-06, max values: 39.309, median values: 0.28819, and quantile values: 0.25 0.090247\n0.50 0.288190\n0.75 1.060250\nName: 3849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3865956743691823, std values: 4.949349287280363, min values: 2.8602e-06, max values: 40.649, median values: 0.19102, and quantile values: 0.25 0.061904\n0.50 0.191020\n0.75 0.777020\nName: 3850, 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: 3851, 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: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5226761521805032, std values: 4.952273818667393, min values: 3.1971e-06, max values: 39.366, median values: 0.23968, and quantile values: 0.25 0.073497\n0.50 0.239680\n0.75 0.883265\nName: 3853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376091644776981, std values: 4.804390688900051, min values: 8.9204e-07, max values: 39.066, median values: 0.19091, and quantile values: 0.25 0.054748\n0.50 0.190910\n0.75 0.789985\nName: 3854, dtype: float64, respectively.", "A sample with 159 features representing metab data 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median values: 0.1431, and quantile values: 0.25 0.032418\n0.50 0.143100\n0.75 0.830545\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662963360139435, std values: 4.971951995655915, min values: 2.2678e-08, max values: 41.964, median values: 0.20364, and quantile values: 0.25 0.042198\n0.50 0.203640\n0.75 0.960790\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408172549029371, std values: 4.809263910163592, min values: 8.1487e-07, max values: 38.413, median values: 0.19057, and quantile values: 0.25 0.059367\n0.50 0.190570\n0.75 0.820270\nName: 3860, 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: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3667514881597485, std values: 5.063788269559659, min values: 3.6748e-06, max values: 41.035, median values: 0.19065, and quantile values: 0.25 0.065084\n0.50 0.190650\n0.75 0.632830\nName: 3862, 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: 3863, 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: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990233975479244, std values: 4.968719154782859, min values: 4.0212e-07, max values: 41.476, median values: 0.23187, and quantile values: 0.25 0.060049\n0.50 0.231870\n0.75 0.897080\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548248490025788, std values: 4.875625373120824, min values: 8.2541e-07, max values: 39.439, median values: 0.21251, and quantile values: 0.25 0.063606\n0.50 0.212510\n0.75 0.879345\nName: 3866, 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: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772767469164782, std values: 4.926491046030245, min values: 6.2412e-07, max values: 40.187, median values: 0.19129, and quantile values: 0.25 0.047566\n0.50 0.191290\n0.75 0.759165\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2941669113018868, std values: 4.702470900632344, min values: 2.6776e-06, max values: 39.675, median values: 0.20259, and quantile values: 0.25 0.06177\n0.50 0.20259\n0.75 0.67921\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: 1.5115164808088049, std values: 4.940641020338271, min values: 1.3216e-06, max values: 39.857, median values: 0.24111, and quantile values: 0.25 0.068294\n0.50 0.241110\n0.75 0.918240\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5573394340725155, std values: 4.957111894163734, min values: 3.1348e-07, max values: 41.099, median values: 0.22866, and quantile values: 0.25 0.054158\n0.50 0.228660\n0.75 0.981125\nName: 3872, 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: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7067138593270441, std values: 5.295778122555233, min values: 2.9382e-06, max values: 43.85, median values: 0.28468, and quantile values: 0.25 0.075661\n0.50 0.284680\n0.75 1.191400\nName: 3874, 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: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3426044682905662, std values: 4.973178035255272, min values: 1.4221e-06, max values: 41.34, median values: 0.17269, and quantile values: 0.25 0.059635\n0.50 0.172690\n0.75 0.700815\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550183881802516, std values: 5.241998153662629, min values: 2.1557e-06, max values: 44.948, median values: 0.22381, and quantile values: 0.25 0.067759\n0.50 0.223810\n0.75 0.916385\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4158270226555978, std values: 4.876371498260387, min values: 8.6354e-07, max values: 40.261, median 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0.256140\n0.75 1.119500\nName: 4068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041396733226414, std values: 4.7049135542887885, min values: 1.171e-06, max values: 38.816, median values: 0.16701, and quantile values: 0.25 0.054009\n0.50 0.167010\n0.75 0.734115\nName: 4069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551181310943189, std values: 4.873849202468319, min values: 2.7367e-08, max values: 38.759, median values: 0.23568, and quantile values: 0.25 0.055629\n0.50 0.235680\n0.75 1.037750\nName: 4070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344897296772956, std values: 4.738454447166817, min values: 3.0421e-06, max values: 40.335, median values: 0.20194, and quantile values: 0.25 0.058616\n0.50 0.201940\n0.75 0.739625\nName: 4071, dtype: float64, respectively.", "A sample with 159 features 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5.0727e-06, max values: 41.621, median values: 0.28547, and quantile values: 0.25 0.071276\n0.50 0.285470\n0.75 1.036760\nName: 4135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5322759261939622, std values: 4.852877932151458, min values: 9.6904e-07, max values: 38.514, median values: 0.25956, and quantile values: 0.25 0.066997\n0.50 0.259560\n0.75 0.993700\nName: 4136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466577289315723, std values: 5.15947425219211, min values: 1.6715e-06, max values: 42.931, median values: 0.21796, and quantile values: 0.25 0.058692\n0.50 0.217960\n0.75 0.813600\nName: 4137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436962515497673, std values: 4.783189802475714, min values: 5.0393e-07, max values: 37.931, median values: 0.1981, and quantile values: 0.25 0.066268\n0.50 0.198100\n0.75 0.863920\nName: 4138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077225994188682, std values: 4.8146852869649805, min values: 1.049e-06, max values: 38.37, median values: 0.20196, and quantile values: 0.25 0.058562\n0.50 0.201960\n0.75 0.802375\nName: 4139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3320747477752015, std values: 4.655969945397368, min values: 2.4833e-08, max values: 37.483, median values: 0.15775, and quantile values: 0.25 0.034977\n0.50 0.157750\n0.75 0.697980\nName: 4140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239425018589937, std values: 4.980385372204722, min values: 6.1568e-07, max values: 41.125, median values: 0.19352, and quantile values: 0.25 0.050657\n0.50 0.193520\n0.75 0.803685\nName: 4141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329334038239621, std values: 4.852156485017181, min values: 7.9821e-07, max values: 39.061, median values: 0.23753, and quantile values: 0.25 0.058627\n0.50 0.237530\n0.75 0.994335\nName: 4142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5128187268993711, std values: 5.058560050061668, min values: 1.0113e-06, max values: 42.286, median values: 0.24627, and quantile values: 0.25 0.067552\n0.50 0.246270\n0.75 0.885290\nName: 4143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6083916950685535, std values: 4.841543810682176, min values: 1.2826e-06, max values: 38.698, median values: 0.25275, and quantile values: 0.25 0.065193\n0.50 0.252750\n0.75 1.043400\nName: 4144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486612261654088, std values: 4.884007447086259, min values: 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