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values: 0.20425, and quantile values: 0.25 0.043332\n0.50 0.204250\n0.75 0.801985\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438320798880503, std values: 5.07696646355574, min values: 1.926e-06, max values: 42.285, median values: 0.23615, and quantile values: 0.25 0.071387\n0.50 0.236150\n0.75 0.951610\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2402124324301886, std values: 4.973925905417489, min values: 1.4219e-06, max values: 40.41, median values: 0.13609, and quantile values: 0.25 0.039488\n0.50 0.136090\n0.75 0.587345\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46404000515639, std values: 5.030546182359102, min values: 1.4766e-08, max values: 42.764, median values: 0.17343, and quantile values: 0.25 0.042263\n0.50 0.173430\n0.75 0.853480\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572756119655346, std values: 4.95975198984077, min values: 1.1027e-06, max values: 40.153, median values: 0.27354, and quantile values: 0.25 0.070404\n0.50 0.273540\n0.75 1.029950\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2425547882937735, std values: 4.60632969213376, min values: 9.4361e-07, max values: 39.487, median values: 0.14936, and quantile values: 0.25 0.045103\n0.50 0.149360\n0.75 0.696415\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787780144176037, std values: 4.945218879381858, min values: 2.5799e-08, max values: 41.038, median values: 0.17216, and quantile values: 0.25 0.046079\n0.50 0.172160\n0.75 0.848080\nName: 1271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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0.060534\n0.50 0.254170\n0.75 1.070150\nName: 1465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6146111031503143, std values: 4.938105011070042, min values: 4.308e-06, max values: 39.342, median values: 0.25445, and quantile values: 0.25 0.081075\n0.50 0.254450\n0.75 1.002245\nName: 1466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3613181011832076, std values: 4.84026317277043, min values: 1.3526e-07, max values: 40.851, median values: 0.18951, and quantile values: 0.25 0.050076\n0.50 0.189510\n0.75 0.759200\nName: 1467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5555315812603772, std values: 4.905236327696034, min values: 1.1296e-06, max values: 39.318, median values: 0.23765, and quantile values: 0.25 0.069093\n0.50 0.237650\n0.75 0.979150\nName: 1468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6182030454550942, std values: 5.012211782883855, min values: 8.1286e-07, max values: 40.727, median values: 0.24788, and quantile values: 0.25 0.067846\n0.50 0.247880\n0.75 1.070185\nName: 1469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4605138061383647, std values: 5.033413973239928, min values: 4.8424e-06, max values: 40.417, median values: 0.22519, and quantile values: 0.25 0.091723\n0.50 0.225190\n0.75 0.770305\nName: 1470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3110609134421385, std values: 4.731975441024308, min values: 1.187e-06, max values: 38.894, median values: 0.19617, and quantile values: 0.25 0.051443\n0.50 0.196170\n0.75 0.723610\nName: 1471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356080325751654, std values: 4.8412545942266805, 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0.2563, and quantile values: 0.25 0.069845\n0.50 0.256300\n0.75 0.995800\nName: 1522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.299494369223522, std values: 4.739689883234811, min values: 1.8463e-07, max values: 38.554, median values: 0.16534, and quantile values: 0.25 0.048582\n0.50 0.165340\n0.75 0.674145\nName: 1523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4515521171352201, std values: 4.9561279448089675, min values: 2.0344e-06, max values: 40.044, median values: 0.26124, and quantile values: 0.25 0.069134\n0.50 0.261240\n0.75 0.854485\nName: 1524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3517749310787421, std values: 4.746374429290861, min values: 5.7322e-07, max values: 38.121, median values: 0.21632, and quantile values: 0.25 0.058357\n0.50 0.216320\n0.75 0.811645\nName: 1525, dtype: float64, 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quantile values: 0.25 0.076249\n0.50 0.299390\n0.75 1.103500\nName: 1532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309520522081133, std values: 4.723846672144034, min values: 6.7469e-07, max values: 37.62, median values: 0.26118, and quantile values: 0.25 0.066212\n0.50 0.261180\n0.75 1.015030\nName: 1533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327077191361069, std values: 4.88716468613291, min values: 7.2121e-07, max values: 40.149, median values: 0.15781, and quantile values: 0.25 0.051052\n0.50 0.157810\n0.75 0.722995\nName: 1534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4800641316036478, std values: 4.8189709325783525, min values: 3.1988e-07, max values: 38.123, median values: 0.22274, and quantile values: 0.25 0.061825\n0.50 0.222740\n0.75 0.951175\nName: 1535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4442195677514467, std values: 4.945661349409573, min values: 7.7008e-07, max values: 41.868, median values: 0.21001, and quantile values: 0.25 0.063175\n0.50 0.210010\n0.75 0.848310\nName: 1536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5031790485891823, std values: 4.943983955392917, min values: 5.8808e-07, max values: 40.57, median values: 0.23277, and quantile values: 0.25 0.055910\n0.50 0.232770\n0.75 0.881255\nName: 1537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5074811586209431, std values: 4.994642355686069, min values: 9.8303e-07, max values: 41.11, median values: 0.23669, and quantile values: 0.25 0.056084\n0.50 0.236690\n0.75 0.938595\nName: 1538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4560124070144653, std values: 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0.987680\nName: 1602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5789374585716984, std values: 5.171280619846342, min values: 2.827e-06, max values: 42.221, median values: 0.25734, and quantile values: 0.25 0.073879\n0.50 0.257340\n0.75 0.965265\nName: 1603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6758048365056606, std values: 4.930319237564278, min values: 1.7672e-06, max values: 38.821, median values: 0.2768, and quantile values: 0.25 0.082813\n0.50 0.276800\n0.75 1.172550\nName: 1604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921536704899373, std values: 4.769062026700973, min values: 1.5495e-06, max values: 39.219, median values: 0.2103, and quantile values: 0.25 0.062547\n0.50 0.210300\n0.75 0.797840\nName: 1605, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.069775\n0.50 0.242610\n0.75 1.018250\nName: 2006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4679809990937107, std values: 4.705712094016138, min values: 1.8606e-06, max values: 38.393, median values: 0.22513, and quantile values: 0.25 0.064526\n0.50 0.225130\n0.75 0.937010\nName: 2007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251538877245283, std values: 5.0521509524496, min values: 3.285e-06, max values: 40.952, median values: 0.24303, and quantile values: 0.25 0.066488\n0.50 0.243030\n0.75 0.917250\nName: 2008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4681353237613963, std values: 5.005310145362146, min values: 2.4072e-08, max values: 43.156, median values: 0.21091, and quantile values: 0.25 0.049691\n0.50 0.210910\n0.75 0.797985\nName: 2009, dtype: float64, respectively.", "A sample with 159 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0.190070\n0.75 0.830995\nName: 2530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5156316822773586, std values: 5.111047870880214, min values: 3.2931e-06, max values: 41.077, median values: 0.22961, and quantile values: 0.25 0.065618\n0.50 0.229610\n0.75 0.810175\nName: 2531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920116702584906, std values: 4.997639550529455, min values: 2.0238e-06, max values: 39.565, median values: 0.23849, and quantile values: 0.25 0.048033\n0.50 0.238490\n0.75 1.114000\nName: 2532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7042752038603775, std values: 5.122895179616076, min values: 2.8221e-06, max values: 40.618, median values: 0.292, and quantile values: 0.25 0.081082\n0.50 0.292000\n0.75 1.119000\nName: 2533, dtype: float64, respectively.", "A sample with 159 features 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0.21605\n0.75 0.88680\nName: 2540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4727557415974841, std values: 5.136937984983793, min values: 1.7629e-06, max values: 43.726, median values: 0.21371, and quantile values: 0.25 0.062138\n0.50 0.213710\n0.75 0.852800\nName: 2541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408197804778742, std values: 4.658523878008592, min values: 9.8592e-07, max values: 38.624, median values: 0.23243, and quantile values: 0.25 0.060071\n0.50 0.232430\n0.75 0.818210\nName: 2542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709653861396227, std values: 4.907717523841736, min values: 2.0648e-06, max values: 39.255, median values: 0.26812, and quantile values: 0.25 0.068346\n0.50 0.268120\n0.75 1.039755\nName: 2543, dtype: float64, respectively.", "A sample with 159 features 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values: 0.19783, and quantile values: 0.25 0.060695\n0.50 0.197830\n0.75 0.835560\nName: 2607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3901156619253459, std values: 4.779407727709678, min values: 3.0223e-07, max values: 38.129, median values: 0.19066, and quantile values: 0.25 0.054135\n0.50 0.190660\n0.75 0.708940\nName: 2608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549838366218805, std values: 4.979238811159836, min values: 7.7389e-07, max values: 40.737, median values: 0.21844, and quantile values: 0.25 0.065312\n0.50 0.218440\n0.75 1.003395\nName: 2609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5368814108716982, std values: 4.845327070706754, min values: 3.5018e-06, max values: 39.549, median values: 0.24957, and quantile values: 0.25 0.073138\n0.50 0.249570\n0.75 0.987905\nName: 2610, dtype: 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median values: 0.24037, and quantile values: 0.25 0.057315\n0.50 0.240370\n0.75 0.867395\nName: 2734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3735577025786163, std values: 4.81146887760429, min values: 5.606e-07, max values: 38.356, median values: 0.1911, and quantile values: 0.25 0.058138\n0.50 0.191100\n0.75 0.795340\nName: 2735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316937086935849, std values: 4.540633550619166, min values: 1.1125e-06, max values: 38.085, median values: 0.18624, and quantile values: 0.25 0.068533\n0.50 0.186240\n0.75 0.733065\nName: 2736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439479932334717, std values: 4.933866487534106, min values: 6.6952e-07, max values: 40.116, median values: 0.22134, and quantile values: 0.25 0.060838\n0.50 0.221340\n0.75 0.809535\nName: 2737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5255541084861637, std values: 5.022449183351626, min values: 2.0349e-06, max values: 40.415, median values: 0.25638, and quantile values: 0.25 0.070199\n0.50 0.256380\n0.75 0.930060\nName: 2738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7193039366754717, std values: 5.262102586834504, min values: 2.7432e-06, max values: 43.057, median values: 0.2893, and quantile values: 0.25 0.083772\n0.50 0.289300\n0.75 1.124900\nName: 2739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3427632392402515, std values: 4.770201815974211, min values: 1.2579e-06, max values: 38.359, median values: 0.18459, and quantile values: 0.25 0.054533\n0.50 0.184590\n0.75 0.737690\nName: 2740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44292182632956, std values: 4.768653293042113, min values: 1.4309e-06, max values: 38.611, median values: 0.22387, and quantile values: 0.25 0.064142\n0.50 0.223870\n0.75 0.873575\nName: 2741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5497526925786163, std values: 4.790652253303571, min values: 2.6075e-06, max values: 39.588, median values: 0.24159, and quantile values: 0.25 0.066534\n0.50 0.241590\n0.75 1.039750\nName: 2742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879373506968552, std values: 4.779302316451882, min values: 2.3424e-06, max values: 39.478, median values: 0.24811, and quantile values: 0.25 0.060639\n0.50 0.248110\n0.75 0.968645\nName: 2743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2184561166928303, std values: 4.814473851792672, min values: 7.8196e-07, max values: 40.409, median 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0.956810\nName: 2874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5934287395201256, std values: 5.121347710886216, min values: 1.3724e-06, max values: 42.702, median values: 0.285, and quantile values: 0.25 0.078886\n0.50 0.285000\n0.75 0.964780\nName: 2875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170282469126603, std values: 4.715238564574557, min values: 1.5343e-08, max values: 37.744, median values: 0.16397, and quantile values: 0.25 0.042068\n0.50 0.163970\n0.75 0.797840\nName: 2876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4127364381956604, std values: 4.922037156723567, min values: 1.3591e-07, max values: 41.253, median values: 0.18359, and quantile values: 0.25 0.046818\n0.50 0.183590\n0.75 0.752705\nName: 2877, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.223340\n0.75 0.951570\nName: 3268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.727985023909434, std values: 5.147111352043313, min values: 1.5119e-06, max values: 41.991, median values: 0.31728, and quantile values: 0.25 0.084253\n0.50 0.317280\n0.75 1.161400\nName: 3269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1865369100897043, std values: 4.565139657346671, min values: 5.7402e-08, max values: 37.273, median values: 0.11705, and quantile values: 0.25 0.028037\n0.50 0.117050\n0.75 0.544190\nName: 3270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534246212672327, std values: 5.055127147998194, min values: 1.0421e-06, max values: 42.391, median values: 0.21446, and quantile values: 0.25 0.063096\n0.50 0.214460\n0.75 0.929565\nName: 3271, dtype: float64, respectively.", "A sample with 159 features 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values: 0.29384, and quantile values: 0.25 0.080979\n0.50 0.293840\n0.75 1.222550\nName: 3335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520040897464088, std values: 4.943283006108295, min values: 0.0, max values: 39.924, median values: 0.21732, and quantile values: 0.25 0.061677\n0.50 0.217320\n0.75 1.018605\nName: 3336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5403426151603143, std values: 4.9355243332928405, min values: 3.6099e-07, max values: 40.918, median values: 0.25975, and quantile values: 0.25 0.066579\n0.50 0.259750\n0.75 0.996620\nName: 3337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596403292794968, std values: 4.6600944286921235, min values: 6.4084e-07, max values: 37.834, median values: 0.24217, and quantile values: 0.25 0.065493\n0.50 0.242170\n0.75 0.946915\nName: 3338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5775923191673649, std values: 4.806534697461367, min values: 2.1751e-08, max values: 38.018, median values: 0.22884, and quantile values: 0.25 0.057093\n0.50 0.228840\n0.75 0.966960\nName: 3339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977074063940878, std values: 4.614785328892783, min values: 8.5426e-07, max values: 37.282, median values: 0.19884, and quantile values: 0.25 0.053842\n0.50 0.198840\n0.75 0.928190\nName: 3340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289707841484275, std values: 5.068766689173578, min values: 3.1506e-06, max values: 40.415, median values: 0.23507, and quantile values: 0.25 0.06667\n0.50 0.23507\n0.75 0.88552\nName: 3341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4353777634709435, std values: 4.822952976354984, min values: 5.5518e-07, max values: 39.52, median values: 0.21921, and quantile values: 0.25 0.054829\n0.50 0.219210\n0.75 0.824035\nName: 3342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.105572090487547, std values: 4.338508103771301, min values: 2.7968e-07, max values: 36.625, median values: 0.13131, and quantile values: 0.25 0.041248\n0.50 0.131310\n0.75 0.533320\nName: 3343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3265992711257861, std values: 4.629832380534051, min values: 3.4835e-06, max values: 40.419, median values: 0.19754, and quantile values: 0.25 0.060084\n0.50 0.197540\n0.75 0.706340\nName: 3344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6844159962327043, std values: 5.322709667878649, min values: 3.5561e-06, max values: 44.583, median 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values: 0.20992, and quantile values: 0.25 0.055592\n0.50 0.209920\n0.75 0.721440\nName: 3475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324177667581761, std values: 4.840319462362058, min values: 1.5305e-06, max values: 39.336, median values: 0.18331, and quantile values: 0.25 0.056626\n0.50 0.183310\n0.75 0.685405\nName: 3476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.677494330129245, std values: 5.017719334487886, min values: 4.1605e-07, max values: 40.167, median values: 0.27819, and quantile values: 0.25 0.067727\n0.50 0.278190\n0.75 1.174800\nName: 3477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6170399847597483, std values: 5.245011744936843, min values: 3.0884e-06, max values: 43.364, median values: 0.26872, and quantile values: 0.25 0.068798\n0.50 0.268720\n0.75 1.059650\nName: 3478, dtype: 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max values: 42.594, median values: 0.20796, and quantile values: 0.25 0.055789\n0.50 0.207960\n0.75 0.865140\nName: 3542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783834729937109, std values: 5.190366323077551, min values: 2.1268e-06, max values: 44.314, median values: 0.23538, and quantile values: 0.25 0.065406\n0.50 0.235380\n0.75 0.894155\nName: 3543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4532117365841508, std values: 5.062572444482482, min values: 5.7908e-07, max values: 42.67, median values: 0.2015, and quantile values: 0.25 0.056135\n0.50 0.201500\n0.75 0.800625\nName: 3544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34743856055283, std values: 4.823958851091373, min values: 1.841e-06, max values: 40.298, median values: 0.18996, and quantile values: 0.25 0.059012\n0.50 0.189960\n0.75 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values: 0.18179, and quantile values: 0.25 0.050373\n0.50 0.181790\n0.75 0.854345\nName: 3742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420322400213836, std values: 4.789316133210268, min values: 2.9022e-06, max values: 40.093, median values: 0.21422, and quantile values: 0.25 0.063064\n0.50 0.214220\n0.75 0.846950\nName: 3743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4291198502132263, std values: 4.882847029127994, min values: 2.5623e-08, max values: 40.906, median values: 0.17745, and quantile values: 0.25 0.041292\n0.50 0.177450\n0.75 0.758970\nName: 3744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925450819949683, std values: 5.13054137129098, min values: 2.0133e-06, max values: 41.181, median values: 0.28044, and quantile values: 0.25 0.075623\n0.50 0.280440\n0.75 1.100935\nName: 3745, dtype: 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quantile values: 0.25 0.059510\n0.50 0.211330\n0.75 0.799755\nName: 3812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4071330135024527, std values: 4.907387537214206, min values: 6.9179e-07, max values: 40.077, median values: 0.22301, and quantile values: 0.25 0.065155\n0.50 0.223010\n0.75 0.733660\nName: 3813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010357844226415, std values: 4.856332028437423, min values: 1.4758e-06, max values: 38.896, median values: 0.19995, and quantile values: 0.25 0.060018\n0.50 0.199950\n0.75 0.835030\nName: 3814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7447355822101254, std values: 5.125490790250098, min values: 9.8061e-07, max values: 41.846, median values: 0.32559, and quantile values: 0.25 0.08519\n0.50 0.32559\n0.75 1.21455\nName: 3815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4003670870661635, std values: 4.701824359259855, min values: 6.8202e-07, max values: 37.107, median values: 0.19679, and quantile values: 0.25 0.057653\n0.50 0.196790\n0.75 0.862295\nName: 3816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3990550789866667, std values: 4.63938257852426, min values: 7.0968e-07, max values: 38.186, median values: 0.20459, and quantile values: 0.25 0.061472\n0.50 0.204590\n0.75 0.817735\nName: 3817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2764333398325156, std values: 4.440549426125575, min values: 9.57e-08, max values: 36.839, median values: 0.15747, and quantile values: 0.25 0.047918\n0.50 0.157470\n0.75 0.709830\nName: 3818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3012182936996226, std values: 4.820937831457617, min values: 3.5343e-07, max values: 41.098, median values: 0.18111, and quantile values: 0.25 0.045243\n0.50 0.181110\n0.75 0.715995\nName: 3819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3115857227565408, std values: 4.856415636007859, min values: 3.3789e-07, max values: 41.094, median values: 0.16245, and quantile values: 0.25 0.052827\n0.50 0.162450\n0.75 0.712025\nName: 3820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517572277445157, std values: 5.083715141878462, min values: 6.5238e-07, max values: 43.047, median values: 0.20708, and quantile values: 0.25 0.057565\n0.50 0.207080\n0.75 0.883375\nName: 3821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4160819618578617, std values: 4.781540704290972, min values: 1.0874e-06, max values: 38.808, median values: 0.21115, and quantile values: 0.25 0.055774\n0.50 0.211150\n0.75 0.764250\nName: 3822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475946221440883, std values: 4.640056298781504, min values: 5.5841e-07, max values: 37.451, median values: 0.22992, and quantile values: 0.25 0.060832\n0.50 0.229920\n0.75 0.884265\nName: 3823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5422277218603773, std values: 5.0072669540233985, min values: 1.3388e-06, max values: 40.967, median values: 0.2199, and quantile values: 0.25 0.06929\n0.50 0.21990\n0.75 0.96956\nName: 3824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782230896138364, std values: 4.98749981376552, min values: 1.4796e-06, max values: 40.511, median values: 0.21925, and quantile values: 0.25 0.063442\n0.50 0.219250\n0.75 0.943760\nName: 3825, dtype: float64, respectively.", "A sample 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min values: 3.5497e-07, max values: 37.538, median values: 0.1668, and quantile values: 0.25 0.049505\n0.50 0.166800\n0.75 0.816495\nName: 3829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5034217256416353, std values: 4.996370156274312, min values: 1.2022e-07, max values: 42.465, median values: 0.2249, and quantile values: 0.25 0.051153\n0.50 0.224900\n0.75 0.867725\nName: 3830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563021162861824, std values: 4.918897940268124, min values: 9.7463e-07, max values: 40.151, median values: 0.27222, and quantile values: 0.25 0.070234\n0.50 0.272220\n0.75 1.073350\nName: 3831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456759293280503, std values: 4.861876316368733, min values: 8.3516e-07, max values: 38.865, median values: 0.22705, and quantile values: 0.25 0.054262\n0.50 0.227050\n0.75 0.862625\nName: 3832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3896001444669812, std values: 4.820963683286777, min values: 2.4105e-07, max values: 39.711, median values: 0.1763, and quantile values: 0.25 0.053923\n0.50 0.176300\n0.75 0.798785\nName: 3833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979933447962264, std values: 4.816076260302896, min values: 1.4811e-06, max values: 38.637, median values: 0.23987, and quantile values: 0.25 0.072072\n0.50 0.239870\n0.75 0.961855\nName: 3834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6532757663213837, std values: 5.267871823738715, min values: 1.126e-06, max values: 45.192, median values: 0.28307, and quantile values: 0.25 0.068824\n0.50 0.283070\n0.75 1.104750\nName: 3835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3219626837273584, std values: 4.867829859385382, min values: 2.8425e-07, max values: 41.182, median values: 0.17811, and quantile values: 0.25 0.047788\n0.50 0.178110\n0.75 0.685575\nName: 3836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630423577301887, std values: 4.911902064943861, min values: 2.0578e-06, max values: 39.464, median values: 0.19938, and quantile values: 0.25 0.060108\n0.50 0.199380\n0.75 0.733240\nName: 3837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992029065289306, std values: 4.572749847385488, min values: 1.1522e-06, max values: 38.794, median values: 0.1893, and quantile values: 0.25 0.059596\n0.50 0.189300\n0.75 0.811625\nName: 3838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4905193594553463, std values: 4.909236392426473, min values: 2.211e-06, max values: 40.127, median values: 0.26486, and quantile values: 0.25 0.067143\n0.50 0.264860\n0.75 0.880980\nName: 3839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528375617616352, std values: 4.7931859890394914, min values: 1.6016e-06, max values: 38.416, median values: 0.2599, and quantile values: 0.25 0.073458\n0.50 0.259900\n0.75 0.958245\nName: 3840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5647112271911952, std values: 4.911867705795856, min values: 1.2485e-06, max values: 39.278, median values: 0.27548, and quantile values: 0.25 0.074617\n0.50 0.275480\n0.75 1.022800\nName: 3841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788759581247797, std values: 5.031470013527146, min values: 4.1654e-07, max values: 42.347, median values: 0.22119, and quantile values: 0.25 0.055643\n0.50 0.221190\n0.75 0.872315\nName: 3842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4972554272849055, std values: 5.202462205646887, min values: 2.4613e-06, max values: 43.211, median values: 0.22659, and quantile values: 0.25 0.06206\n0.50 0.22659\n0.75 0.85166\nName: 3843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575618388912578, std values: 5.060780970138199, min values: 9.7321e-07, max values: 41.641, median values: 0.2468, and quantile values: 0.25 0.069547\n0.50 0.246800\n0.75 0.974990\nName: 3844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224368091345914, std values: 4.742557006939188, min values: 1.3043e-06, max values: 37.543, median values: 0.20318, and quantile values: 0.25 0.060144\n0.50 0.203180\n0.75 0.879875\nName: 3845, dtype: float64, respectively.", "A sample with 159 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values: 1.275e-06, max values: 42.264, median values: 0.28313, and quantile values: 0.25 0.083667\n0.50 0.283130\n0.75 1.249950\nName: 3849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632555813596415, std values: 5.25689888433563, min values: 1.5924e-07, max values: 46.721, median values: 0.21055, and quantile values: 0.25 0.052861\n0.50 0.210550\n0.75 0.953680\nName: 3850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662466802052201, std values: 5.019305967003016, min values: 1.9615e-06, max values: 39.743, median values: 0.27493, and quantile values: 0.25 0.074234\n0.50 0.274930\n0.75 1.087850\nName: 3851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4381796584411322, std values: 4.655289330758101, min values: 1.5874e-07, max values: 37.042, median values: 0.22809, and quantile values: 0.25 0.060506\n0.50 0.228090\n0.75 0.904120\nName: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255740221126414, std values: 4.7065819020310045, min values: 1.1001e-07, max values: 37.402, median values: 0.19164, and quantile values: 0.25 0.047863\n0.50 0.191640\n0.75 0.818305\nName: 3853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4152678509520753, std values: 4.847535490811645, min values: 4.3848e-07, max values: 39.983, median values: 0.19541, and quantile values: 0.25 0.051048\n0.50 0.195410\n0.75 0.740975\nName: 3854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4020503574861636, std values: 5.278626889056622, min values: 3.3976e-06, max values: 44.28, median values: 0.17931, and quantile values: 0.25 0.055591\n0.50 0.179310\n0.75 0.622460\nName: 3855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6983133760421383, std values: 5.087833137929536, min values: 6.4412e-06, max values: 41.196, median values: 0.29174, and quantile values: 0.25 0.082199\n0.50 0.291740\n0.75 1.033150\nName: 3856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480391556685534, std values: 4.6331328892594295, min values: 1.2255e-06, max values: 38.62, median values: 0.21863, and quantile values: 0.25 0.055599\n0.50 0.218630\n0.75 0.767025\nName: 3857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926260701666666, std values: 4.669144789800633, min values: 1.8054e-06, max values: 39.362, median values: 0.1943, and quantile values: 0.25 0.056573\n0.50 0.194300\n0.75 0.836240\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875011023534591, std values: 4.805005152079288, min values: 3.6488e-06, max values: 40.736, median values: 0.21236, and quantile values: 0.25 0.063123\n0.50 0.212360\n0.75 0.741260\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364820101836478, std values: 4.9467666137364885, min values: 8.982e-07, max values: 41.238, median values: 0.17982, and quantile values: 0.25 0.049646\n0.50 0.179820\n0.75 0.675920\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3493514711628933, std values: 4.686745767200034, min values: 6.259e-07, max values: 38.758, median values: 0.18712, and quantile values: 0.25 0.055717\n0.50 0.187120\n0.75 0.791155\nName: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621429238572327, std values: 5.121756094230063, min values: 2.1194e-06, max values: 42.234, median values: 0.24582, and quantile values: 0.25 0.070323\n0.50 0.245820\n0.75 1.059950\nName: 3862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388219973237107, std values: 4.809842118945225, min values: 4.969e-07, max values: 38.436, median values: 0.18478, and quantile values: 0.25 0.058214\n0.50 0.184780\n0.75 0.796470\nName: 3863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3494689570994338, std values: 4.68099180303157, min values: 6.7871e-07, max values: 37.604, median values: 0.1894, and quantile values: 0.25 0.056224\n0.50 0.189400\n0.75 0.762560\nName: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139204556528298, std values: 4.628953336488434, min values: 1.0539e-06, max values: 38.001, median values: 0.20792, and quantile values: 0.25 0.058139\n0.50 0.207920\n0.75 0.881890\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848358252792452, std values: 4.9180622713193065, min values: 1.7836e-06, max values: 40.418, median values: 0.22053, and quantile values: 0.25 0.062339\n0.50 0.220530\n0.75 0.783995\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579393777767547, std values: 5.089296505211343, min values: 6.9184e-07, max values: 42.505, median values: 0.2313, and quantile values: 0.25 0.054736\n0.50 0.231300\n0.75 0.999250\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798067835106918, std values: 5.051746032090216, min values: 1.9973e-06, max values: 41.454, median values: 0.22289, and quantile values: 0.25 0.063400\n0.50 0.222890\n0.75 0.864745\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4562286598528302, std values: 4.835260422815032, min values: 1.1747e-06, max values: 38.655, median values: 0.21159, and quantile values: 0.25 0.071327\n0.50 0.211590\n0.75 0.898445\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908999575340252, std values: 4.971804135090847, min values: 8.851e-08, max values: 41.489, median values: 0.19937, and quantile values: 0.25 0.058639\n0.50 0.199370\n0.75 0.932015\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2842643908037734, std values: 4.661437571009572, min values: 3.384e-07, max values: 37.578, median values: 0.1517, and quantile values: 0.25 0.044975\n0.50 0.151700\n0.75 0.675265\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5281888370578616, std values: 4.9779636222018855, min values: 1.1612e-06, max values: 40.321, median values: 0.2535, and quantile values: 0.25 0.062676\n0.50 0.253500\n0.75 0.892495\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6823361400339623, std values: 5.076557018992101, min values: 6.0114e-06, max values: 40.561, median values: 0.26451, and quantile values: 0.25 0.091113\n0.50 0.264510\n0.75 1.063700\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466972943399371, std values: 4.895206405299337, min values: 5.0389e-06, max values: 41.232, median values: 0.21322, and quantile values: 0.25 0.072906\n0.50 0.213220\n0.75 0.834220\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3581347572980504, std values: 4.696278396512198, min values: 2.91e-08, max values: 37.257, median values: 0.20427, and quantile values: 0.25 0.050836\n0.50 0.204270\n0.75 0.852650\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3610806029337106, std values: 4.628254223650305, min values: 6.5886e-07, max values: 37.875, median values: 0.2278, and quantile values: 0.25 0.061822\n0.50 0.227800\n0.75 0.780575\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6575998794465405, std values: 5.125286415023172, min values: 1.5537e-06, max values: 41.467, median values: 0.26061, and quantile values: 0.25 0.071027\n0.50 0.260610\n0.75 1.113950\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048073720049435, std values: 4.906571243378114, min values: 2.6686e-08, max values: 40.02, median values: 0.22823, and quantile values: 0.25 0.056117\n0.50 0.228230\n0.75 0.975070\nName: 3878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6451886964541511, std values: 5.052545081278276, min values: 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0.253830\n0.75 1.051700\nName: 3932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411410981415094, std values: 4.626128736095965, min values: 7.748e-07, max values: 38.386, median values: 0.21428, and quantile values: 0.25 0.064098\n0.50 0.214280\n0.75 0.982620\nName: 3933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7823568643597485, std values: 5.141162259314279, min values: 4.9142e-06, max values: 40.225, median values: 0.27573, and quantile values: 0.25 0.083966\n0.50 0.275730\n0.75 1.235550\nName: 3934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4809349360685533, std values: 4.960281767392805, min values: 4.6147e-06, max values: 40.853, median values: 0.20436, and quantile values: 0.25 0.068006\n0.50 0.204360\n0.75 0.776850\nName: 3935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732531353572325, std values: 5.055859116657893, min values: 2.1254e-06, max values: 42.288, median values: 0.21772, and quantile values: 0.25 0.064339\n0.50 0.217720\n0.75 0.871390\nName: 3936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7750473878314463, std values: 5.706440132248151, min values: 7.9152e-06, max values: 47.293, median values: 0.29045, and quantile values: 0.25 0.064224\n0.50 0.290450\n0.75 1.096950\nName: 3937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3736333328180002, std values: 4.441295161324875, min values: 1.7912e-08, max values: 36.385, median values: 0.16622, and quantile values: 0.25 0.043037\n0.50 0.166220\n0.75 0.839495\nName: 3938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6783041206698113, std values: 5.245208553739857, min values: 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: 3939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5316658957822389, std values: 5.08015296445051, min values: 1.9236e-08, max values: 43.882, median values: 0.17433, and quantile values: 0.25 0.040852\n0.50 0.174330\n0.75 0.848250\nName: 3940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398588702491239, std values: 4.81370152326928, min values: 1.9007e-08, max values: 38.879, median values: 0.18324, and quantile values: 0.25 0.050350\n0.50 0.183240\n0.75 0.856125\nName: 3941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465612919338365, std values: 4.7243979775405185, min values: 1.8815e-06, max values: 38.831, median values: 0.25999, and quantile values: 0.25 0.060965\n0.50 0.259990\n0.75 0.882735\nName: 3942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237983889612579, std values: 5.020818059231649, min values: 5.2204e-07, max values: 40.872, median values: 0.21721, and quantile values: 0.25 0.053608\n0.50 0.217210\n0.75 1.029445\nName: 3943, 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: 3944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675332115398742, std values: 4.963113804865289, min values: 1.071e-06, max values: 39.011, median values: 0.2919, and quantile values: 0.25 0.07587\n0.50 0.29190\n0.75 1.18420\nName: 3945, dtype: float64, respectively.", "A sample with 159 features representing 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0.22139, and quantile values: 0.25 0.061347\n0.50 0.221390\n0.75 0.897075\nName: 4009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7163836086584905, std values: 5.199395198161184, min values: 4.1261e-06, max values: 41.499, median values: 0.27689, and quantile values: 0.25 0.078867\n0.50 0.276890\n0.75 1.178700\nName: 4010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447533946786289, std values: 4.954023552942075, min values: 4.2012e-07, max values: 41.7, median values: 0.22718, and quantile values: 0.25 0.055597\n0.50 0.227180\n0.75 0.821535\nName: 4011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.59070406121761, std values: 4.974765850114236, min values: 2.7909e-06, max values: 40.075, median values: 0.2371, and quantile values: 0.25 0.076115\n0.50 0.237100\n0.75 0.937105\nName: 4012, dtype: float64, 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