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0.881015\nName: 930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6937821684396228, std values: 5.410031891219525, min values: 2.6511e-06, max values: 46.173, median values: 0.26882, and quantile values: 0.25 0.073821\n0.50 0.268820\n0.75 1.049000\nName: 931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4526166420333333, std values: 5.045136723889937, min values: 3.9812e-06, max values: 40.903, median values: 0.21977, and quantile values: 0.25 0.066681\n0.50 0.219770\n0.75 0.811505\nName: 932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4395475751108806, std values: 4.7335304471706525, min values: 3.4413e-07, max values: 38.828, median values: 0.20079, and quantile values: 0.25 0.054227\n0.50 0.200790\n0.75 0.892365\nName: 933, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.254960\n0.75 0.928975\nName: 1254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482289833291195, std values: 4.756816882304539, min values: 2.2278e-06, max values: 39.687, median values: 0.23388, and quantile values: 0.25 0.062116\n0.50 0.233880\n0.75 0.970260\nName: 1255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633073546591195, std values: 4.891702549487772, min values: 1.1762e-06, max values: 39.366, median values: 0.20284, and quantile values: 0.25 0.059164\n0.50 0.202840\n0.75 0.905580\nName: 1256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7409441710389932, std values: 4.974233849386447, min values: 5.1394e-06, max values: 40.291, median values: 0.30062, and quantile values: 0.25 0.085611\n0.50 0.300620\n0.75 1.181950\nName: 1257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5990798370616353, std values: 5.06296322975741, min values: 2.8764e-06, max values: 40.021, median values: 0.25158, and quantile values: 0.25 0.072484\n0.50 0.251580\n0.75 1.013065\nName: 1258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5362155998333333, std values: 4.953410164659335, min values: 1.9842e-06, max values: 39.02, median values: 0.23428, and quantile values: 0.25 0.071101\n0.50 0.234280\n0.75 0.983880\nName: 1259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473893853937733, std values: 4.749152204983351, min values: 5.5761e-07, max values: 37.876, median values: 0.17653, and quantile values: 0.25 0.054154\n0.50 0.176530\n0.75 0.782025\nName: 1260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2815341302146541, std values: 4.847698736416158, min values: 2.9553e-07, max values: 39.942, median values: 0.18038, and quantile values: 0.25 0.044358\n0.50 0.180380\n0.75 0.666045\nName: 1261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530680538973522, std values: 4.871470495508673, min values: 2.7449e-07, max values: 39.223, median values: 0.22228, and quantile values: 0.25 0.055633\n0.50 0.222280\n0.75 0.917630\nName: 1262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5152400931855348, std values: 4.694888405490603, min values: 1.9626e-06, max values: 38.755, median values: 0.25334, and quantile values: 0.25 0.06924\n0.50 0.25334\n0.75 0.97253\nName: 1263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470696077971071, std values: 5.227750918810338, min values: 9.2854e-07, max values: 45.084, median values: 0.20462, and quantile values: 0.25 0.056834\n0.50 0.204620\n0.75 0.921660\nName: 1264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570236851914967, std values: 4.68853265790625, min values: 2.4808e-08, max values: 37.51, median values: 0.18284, and quantile values: 0.25 0.040839\n0.50 0.182840\n0.75 0.698140\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.242105523790566, std values: 4.525801704882842, min values: 2.2843e-06, max values: 39.303, median values: 0.15348, and quantile values: 0.25 0.047118\n0.50 0.153480\n0.75 0.700635\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4203458810225158, std values: 4.943976431037098, min values: 6.5978e-07, max values: 41.012, median values: 0.21795, and quantile values: 0.25 0.059404\n0.50 0.217950\n0.75 0.851710\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4982986306232704, std values: 5.063359812252327, min values: 1.0085e-06, max values: 42.097, median values: 0.219, and quantile values: 0.25 0.059484\n0.50 0.219000\n0.75 0.820340\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927392749949686, std values: 5.024492220129797, min values: 1.3611e-06, max values: 41.748, median values: 0.21421, and quantile values: 0.25 0.066661\n0.50 0.214210\n0.75 0.906420\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4996343162295032, std values: 4.799516391339963, min values: 2.7781e-08, max values: 38.446, median values: 0.20825, and quantile values: 0.25 0.057859\n0.50 0.208250\n0.75 1.037800\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439731852221824, std values: 4.866960302187721, min values: 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0.311370\n0.75 1.225450\nName: 1461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5549587805333334, std values: 4.9325956466556224, min values: 2.8305e-06, max values: 38.763, median values: 0.25834, and quantile values: 0.25 0.075221\n0.50 0.258340\n0.75 0.966995\nName: 1462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3821394646179244, std values: 4.938870052912974, min values: 4.6655e-07, max values: 41.454, median values: 0.17699, and quantile values: 0.25 0.051662\n0.50 0.176990\n0.75 0.710310\nName: 1463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3845292077610063, std values: 4.556744621126643, min values: 3.0301e-06, max values: 39.174, median values: 0.21924, and quantile values: 0.25 0.066640\n0.50 0.219240\n0.75 0.809535\nName: 1464, dtype: float64, respectively.", "A sample with 159 features 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6.6157e-07, max values: 46.719, median values: 0.24238, and quantile values: 0.25 0.068057\n0.50 0.242380\n0.75 0.883220\nName: 1468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512600555100415, std values: 4.712177181597299, min values: 3.2866e-08, max values: 37.006, median values: 0.20644, and quantile values: 0.25 0.053238\n0.50 0.206440\n0.75 1.023550\nName: 1469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4129436447060375, std values: 4.6159541283669645, min values: 2.2966e-07, max values: 37.885, median values: 0.21162, and quantile values: 0.25 0.060578\n0.50 0.211620\n0.75 0.873915\nName: 1470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2913944987345913, std values: 4.882562702703606, min values: 1.0922e-06, max values: 39.902, median values: 0.16256, and quantile values: 0.25 0.047950\n0.50 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values: 6.4447e-07, max values: 43.895, median values: 0.14023, and quantile values: 0.25 0.039976\n0.50 0.140230\n0.75 0.599155\nName: 1528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5586930217811321, std values: 4.82655426008503, min values: 3.9725e-06, max values: 39.555, median values: 0.25494, and quantile values: 0.25 0.071877\n0.50 0.254940\n0.75 0.982510\nName: 1529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.674270725469874, std values: 4.924006509637066, min values: 8.1281e-07, max values: 38.272, median values: 0.2938, and quantile values: 0.25 0.071235\n0.50 0.293800\n0.75 1.090400\nName: 1530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3433392096999999, std values: 4.733499892925285, min values: 1.183e-06, max values: 39.639, median values: 0.21914, and quantile values: 0.25 0.057411\n0.50 0.219140\n0.75 0.769360\nName: 1531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7240512199748426, std values: 4.897971781630138, min values: 1.3062e-06, max values: 38.221, median values: 0.29358, and quantile values: 0.25 0.080004\n0.50 0.293580\n0.75 1.253100\nName: 1532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6395605158691824, std values: 4.993066677016212, min values: 3.2684e-06, max values: 40.311, median values: 0.25589, and quantile values: 0.25 0.07331\n0.50 0.25589\n0.75 1.11345\nName: 1533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4808597104905659, std values: 4.874779185776884, min values: 1.086e-06, max values: 39.616, median values: 0.2095, and quantile values: 0.25 0.054391\n0.50 0.209500\n0.75 0.922420\nName: 1534, dtype: float64, respectively.", "A sample with 159 features 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0.632435\nName: 2005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790113615031447, std values: 4.85906699096189, min values: 1.0588e-06, max values: 39.375, median values: 0.22899, and quantile values: 0.25 0.056872\n0.50 0.228990\n0.75 0.785120\nName: 2006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009756951238993, std values: 4.928079517871808, min values: 4.1942e-06, max values: 40.432, median values: 0.24584, and quantile values: 0.25 0.069468\n0.50 0.245840\n0.75 0.883710\nName: 2007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5167504125169813, std values: 5.184432986199996, min values: 1.8366e-06, max values: 43.835, median values: 0.25132, and quantile values: 0.25 0.069963\n0.50 0.251320\n0.75 0.923310\nName: 2008, dtype: float64, respectively.", "A sample with 159 features representing metab 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1.02555\nName: 2803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6183990897113207, std values: 5.020072007192363, min values: 1.8992e-06, max values: 40.612, median values: 0.29641, and quantile values: 0.25 0.076404\n0.50 0.296410\n0.75 1.081700\nName: 2804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4153440337968555, std values: 5.126479393596728, min values: 1.1929e-06, max values: 43.759, median values: 0.17694, and quantile values: 0.25 0.052563\n0.50 0.176940\n0.75 0.781770\nName: 2805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139942247848427, std values: 4.81296163550528, min values: 3.3769e-07, max values: 39.158, median values: 0.22795, and quantile values: 0.25 0.055593\n0.50 0.227950\n0.75 0.825720\nName: 2806, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.293420\n0.75 1.196700\nName: 3000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5349394952025786, std values: 4.889164620962269, min values: 2.8301e-07, max values: 38.909, median values: 0.24823, and quantile values: 0.25 0.060965\n0.50 0.248230\n0.75 0.997045\nName: 3001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396837811491195, std values: 5.0012509094145, min values: 1.8998e-06, max values: 41.548, median values: 0.19898, and quantile values: 0.25 0.059871\n0.50 0.198980\n0.75 0.759500\nName: 3002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5839557631327046, std values: 5.0627635160753615, min values: 3.9023e-06, max values: 40.523, median values: 0.27576, and quantile values: 0.25 0.077822\n0.50 0.275760\n0.75 1.021950\nName: 3003, dtype: float64, respectively.", "A sample with 159 features 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0.883945\nName: 3060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623270288642768, std values: 4.853685540392951, min values: 9.9992e-07, max values: 38.965, median values: 0.19051, and quantile values: 0.25 0.050085\n0.50 0.190510\n0.75 0.765455\nName: 3061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595850563044654, std values: 4.682135752359727, min values: 1.5158e-06, max values: 38.337, median values: 0.25332, and quantile values: 0.25 0.085727\n0.50 0.253320\n0.75 1.090750\nName: 3062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.179975472545283, std values: 4.338298214317344, min values: 3.182e-07, max values: 37.176, median values: 0.13907, and quantile values: 0.25 0.041703\n0.50 0.139070\n0.75 0.616790\nName: 3063, dtype: float64, respectively.", "A sample with 159 features representing metab data 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36.589, median values: 0.18125, and quantile values: 0.25 0.042388\n0.50 0.181250\n0.75 0.740205\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5964059762333334, std values: 5.129781912743189, min values: 2.2464e-06, max values: 41.737, median values: 0.23594, and quantile values: 0.25 0.071496\n0.50 0.235940\n0.75 0.983035\nName: 3068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788519493654086, std values: 4.672389083540888, min values: 3.5973e-06, max values: 39.816, median values: 0.23164, and quantile values: 0.25 0.079287\n0.50 0.231640\n0.75 0.895645\nName: 3069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6516880362716981, std values: 5.144318327377069, min values: 3.7678e-06, max values: 40.963, median values: 0.25604, and quantile values: 0.25 0.070339\n0.50 0.256040\n0.75 1.016000\nName: 3070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5957971084722642, std values: 5.1087957784048275, min values: 4.5939e-07, max values: 42.81, median values: 0.23827, and quantile values: 0.25 0.060379\n0.50 0.238270\n0.75 1.061250\nName: 3071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493948497928302, std values: 5.131168435752002, min values: 3.1789e-06, max values: 42.397, median values: 0.22872, and quantile values: 0.25 0.065469\n0.50 0.228720\n0.75 0.880405\nName: 3072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298583754840627, std values: 4.639279559891253, min values: 2.9966e-08, max values: 36.604, median values: 0.2394, and quantile values: 0.25 0.060314\n0.50 0.239400\n0.75 0.988435\nName: 3073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.25392\n0.75 0.92116\nName: 3337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442503125981761, std values: 4.938889780243919, min values: 2.2127e-06, max values: 39.793, median values: 0.20932, and quantile values: 0.25 0.063954\n0.50 0.209320\n0.75 0.816155\nName: 3338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61685493729717, std values: 5.326688105305376, min values: 3.6335e-07, max values: 46.913, median values: 0.22466, and quantile values: 0.25 0.060135\n0.50 0.224660\n0.75 1.035710\nName: 3339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141260310490569, std values: 4.8964358845956495, min values: 2.1592e-06, max values: 39.187, median values: 0.21051, and quantile values: 0.25 0.057943\n0.50 0.210510\n0.75 0.862005\nName: 3340, dtype: float64, respectively.", "A sample with 159 features 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values: 0.24439, and quantile values: 0.25 0.072218\n0.50 0.244390\n0.75 0.848515\nName: 3474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442526616889308, std values: 4.815668142162663, min values: 1.1342e-06, max values: 38.443, median values: 0.22991, and quantile values: 0.25 0.062463\n0.50 0.229910\n0.75 0.950785\nName: 3475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4368970901498113, std values: 4.882874214950246, min values: 2.7292e-07, max values: 40.284, median values: 0.21162, and quantile values: 0.25 0.057146\n0.50 0.211620\n0.75 0.870105\nName: 3476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4600087423050314, std values: 4.912527413392918, min values: 2.4372e-06, max values: 39.535, median values: 0.21329, and quantile values: 0.25 0.068834\n0.50 0.213290\n0.75 0.895945\nName: 3477, dtype: 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37.097, median values: 0.25123, and quantile values: 0.25 0.066055\n0.50 0.251230\n0.75 1.040970\nName: 3651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285581475618088, std values: 4.494127989242177, min values: 6.5356e-08, max values: 36.139, median values: 0.16252, and quantile values: 0.25 0.036838\n0.50 0.162520\n0.75 0.773485\nName: 3652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5384371004575408, std values: 5.084059858061138, min values: 1.3099e-08, max values: 43.44, median values: 0.18834, and quantile values: 0.25 0.043052\n0.50 0.188340\n0.75 0.877720\nName: 3653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5562652522679246, std values: 5.1165260216588955, min values: 3.315e-06, max values: 40.764, median values: 0.25006, and quantile values: 0.25 0.071085\n0.50 0.250060\n0.75 0.947215\nName: 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values: 0.16757, and quantile values: 0.25 0.039273\n0.50 0.167570\n0.75 0.731305\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5784113734138363, std values: 5.205720358984376, min values: 2.6872e-06, max values: 43.011, median values: 0.2324, and quantile values: 0.25 0.064345\n0.50 0.232400\n0.75 0.986295\nName: 3742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661576466045912, std values: 5.002933091587993, min values: 4.789e-06, max values: 40.731, median values: 0.26345, and quantile values: 0.25 0.078768\n0.50 0.263450\n0.75 1.072250\nName: 3743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112804710138364, std values: 4.6514101223591515, min values: 8.882e-07, max values: 37.947, median values: 0.1682, and quantile values: 0.25 0.056267\n0.50 0.168200\n0.75 0.772395\nName: 3744, dtype: 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quantile values: 0.25 0.068009\n0.50 0.261000\n0.75 1.097550\nName: 3811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.68107622369044, std values: 5.38531438727816, min values: 8.7218e-07, max values: 48.128, median values: 0.22193, and quantile values: 0.25 0.057892\n0.50 0.221930\n0.75 0.953465\nName: 3812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.282372314901321, std values: 4.734026707679509, min values: 5.8961e-07, max values: 38.051, median values: 0.16545, and quantile values: 0.25 0.046697\n0.50 0.165450\n0.75 0.679900\nName: 3813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6057325693955975, std values: 5.2241590834499, min values: 1.7525e-06, max values: 44.142, median values: 0.24501, and quantile values: 0.25 0.071855\n0.50 0.245010\n0.75 1.001370\nName: 3814, dtype: float64, respectively.", "A 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0.25 0.038766\n0.50 0.155230\n0.75 0.639335\nName: 3831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585136791574214, std values: 5.087918714537925, min values: 2.7674e-06, max values: 40.641, median values: 0.23503, and quantile values: 0.25 0.072939\n0.50 0.235030\n0.75 0.970880\nName: 3832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3621365335301885, std values: 4.529263622474966, min values: 2.1529e-06, max values: 38.423, median values: 0.20959, and quantile values: 0.25 0.061601\n0.50 0.209590\n0.75 0.810405\nName: 3833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206479071748428, std values: 5.33659078932992, min values: 3.189e-06, max values: 44.985, median values: 0.32623, and quantile values: 0.25 0.083482\n0.50 0.326230\n0.75 1.117100\nName: 3834, dtype: float64, respectively.", "A sample with 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min values: 1.524e-06, max values: 43.876, median values: 0.28127, and quantile values: 0.25 0.072744\n0.50 0.281270\n0.75 1.033500\nName: 3838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7781874076663522, std values: 5.324218703644772, min values: 2.4095e-07, max values: 46.386, median values: 0.29435, and quantile values: 0.25 0.073345\n0.50 0.294350\n0.75 1.213050\nName: 3839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213195338591198, std values: 5.053624293817659, min values: 2.6894e-06, max values: 40.01, median values: 0.25163, and quantile values: 0.25 0.076439\n0.50 0.251630\n0.75 1.024950\nName: 3840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6532811755295596, std values: 4.9873035812573026, min values: 1.424e-06, max values: 38.954, median values: 0.27772, and quantile values: 0.25 0.068951\n0.50 0.277720\n0.75 1.059650\nName: 3841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7386835153867926, std values: 5.22587649746199, min values: 2.6684e-06, max values: 42.594, median values: 0.28529, and quantile values: 0.25 0.082915\n0.50 0.285290\n0.75 1.212850\nName: 3842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7187515290265407, std values: 5.223585931836374, min values: 5.1332e-07, max values: 43.928, median values: 0.26427, and quantile values: 0.25 0.070708\n0.50 0.264270\n0.75 1.180250\nName: 3843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722731604238994, std values: 4.753275320386292, min values: 1.9604e-06, max values: 39.241, median values: 0.25192, and quantile values: 0.25 0.061020\n0.50 0.251920\n0.75 1.025065\nName: 3844, dtype: float64, respectively.", "A sample with 159 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min values: 1.8382e-06, max values: 39.127, median values: 0.25318, and quantile values: 0.25 0.069122\n0.50 0.253180\n0.75 0.959910\nName: 3848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2914639841383648, std values: 4.729825048271066, min values: 1.7187e-06, max values: 38.838, median values: 0.17852, and quantile values: 0.25 0.055788\n0.50 0.178520\n0.75 0.630525\nName: 3849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2816445863113208, std values: 4.572227152101512, min values: 1.3262e-06, max values: 38.561, median values: 0.17679, and quantile values: 0.25 0.052164\n0.50 0.176790\n0.75 0.721900\nName: 3850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937400624540882, std values: 4.822145881932993, min values: 1.0529e-06, max values: 38.121, median values: 0.24177, and quantile values: 0.25 0.074917\n0.50 0.241770\n0.75 0.918060\nName: 3851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5103761787572956, std values: 5.0413920850229275, min values: 7.4601e-07, max values: 42.599, median values: 0.23627, and quantile values: 0.25 0.071553\n0.50 0.236270\n0.75 0.879520\nName: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545396623684904, std values: 4.549492344373173, min values: 5.3469e-07, max values: 37.064, median values: 0.18144, and quantile values: 0.25 0.053195\n0.50 0.181440\n0.75 0.762860\nName: 3853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4321892140416355, std values: 4.801995050937484, min values: 8.4482e-07, max values: 38.389, median values: 0.20329, and quantile values: 0.25 0.060330\n0.50 0.203290\n0.75 0.878725\nName: 3854, dtype: float64, respectively.", "A sample with 159 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values: 2.4401e-08, max values: 61.944, median values: 0.30216, and quantile values: 0.25 0.075008\n0.50 0.302160\n0.75 1.521500\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556460014647797, std values: 4.893374760335147, min values: 3.0276e-06, max values: 39.666, median values: 0.26022, and quantile values: 0.25 0.069134\n0.50 0.260220\n0.75 0.970600\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7338635181069184, std values: 5.208116914639245, min values: 3.0704e-06, max values: 41.728, median values: 0.28307, and quantile values: 0.25 0.077633\n0.50 0.283070\n0.75 1.116200\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.217141433483434, std values: 4.615485220538362, min values: 2.1856e-08, max values: 37.152, median values: 0.14221, and quantile values: 0.25 0.033963\n0.50 0.142210\n0.75 0.585510\nName: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410458764226416, std values: 4.864548901548377, min values: 2.4617e-06, max values: 38.935, median values: 0.24732, and quantile values: 0.25 0.072993\n0.50 0.247320\n0.75 0.967310\nName: 3862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7585662466943395, std values: 5.185228208778086, min values: 3.1763e-06, max values: 40.411, median values: 0.296, and quantile values: 0.25 0.089534\n0.50 0.296000\n0.75 1.172300\nName: 3863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5825160417471698, std values: 5.028650179191593, min values: 3.2363e-06, max values: 39.811, median values: 0.27861, and quantile values: 0.25 0.075387\n0.50 0.278610\n0.75 1.012615\nName: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3513985432851572, std values: 4.899699117091354, min values: 1.2337e-07, max values: 42.005, median values: 0.17149, and quantile values: 0.25 0.039678\n0.50 0.171490\n0.75 0.665960\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530828085064654, std values: 5.105456837014015, min values: 4.8168e-07, max values: 43.257, median values: 0.22425, and quantile values: 0.25 0.069120\n0.50 0.224250\n0.75 0.925575\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6236067094433964, std values: 5.029760704548227, min values: 1.2405e-06, max values: 39.998, median values: 0.24726, and quantile values: 0.25 0.076121\n0.50 0.247260\n0.75 1.084800\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3685777278054716, std values: 4.7870357941170525, min values: 9.5507e-07, max values: 38.593, median values: 0.15808, and quantile values: 0.25 0.052810\n0.50 0.158080\n0.75 0.708725\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508386296872956, std values: 5.058393156326631, min values: 1.6934e-06, max values: 42.581, median values: 0.24821, and quantile values: 0.25 0.066831\n0.50 0.248210\n0.75 0.949610\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581419224491824, std values: 5.262258043708751, min values: 3.8815e-06, max values: 43.722, median values: 0.24445, and quantile values: 0.25 0.061907\n0.50 0.244450\n0.75 0.879450\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5210880519522012, std values: 4.986347973089485, min values: 1.7301e-06, max values: 39.698, median values: 0.22605, and quantile values: 0.25 0.06334\n0.50 0.22605\n0.75 0.91639\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297324791352202, std values: 4.842472903166433, min values: 3.166e-07, max values: 39.429, median values: 0.19366, and quantile values: 0.25 0.051898\n0.50 0.193660\n0.75 0.835665\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.638993867715975, std values: 5.178010967979023, min values: 6.5414e-07, max values: 43.403, median values: 0.25285, and quantile values: 0.25 0.071663\n0.50 0.252850\n0.75 1.097850\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33306840028239, std values: 4.634889587987733, min values: 5.0386e-06, max values: 40.664, median values: 0.17863, and quantile values: 0.25 0.057495\n0.50 0.178630\n0.75 0.703615\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101587310238993, std values: 5.10670008068213, min values: 3.8908e-06, max values: 41.534, median values: 0.2295, and quantile values: 0.25 0.067384\n0.50 0.229500\n0.75 0.851070\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502835482553459, std values: 4.727826890434673, min values: 2.9379e-06, max values: 39.155, median values: 0.25217, and quantile values: 0.25 0.072957\n0.50 0.252170\n0.75 0.949225\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3399213233927674, std values: 4.674684749148043, min values: 1.7695e-07, max values: 37.404, median values: 0.1759, and quantile values: 0.25 0.048004\n0.50 0.175900\n0.75 0.719910\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6561082356427672, std values: 5.211252593810338, min values: 4.4622e-06, max 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3881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483804462872327, std values: 4.819100865625642, min values: 1.9038e-06, max values: 38.735, median values: 0.23184, and quantile values: 0.25 0.064731\n0.50 0.231840\n0.75 0.948945\nName: 3882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5343484094924527, std values: 4.721159565341566, min values: 3.1556e-06, max values: 39.028, median values: 0.23658, and quantile values: 0.25 0.078325\n0.50 0.236580\n0.75 0.939040\nName: 3883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2048994306079246, std values: 4.5469049883871815, min values: 6.5046e-07, max values: 38.298, median values: 0.14626, and quantile values: 0.25 0.047783\n0.50 0.146260\n0.75 0.642140\nName: 3884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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0.25 0.074158\n0.50 0.248010\n0.75 1.032100\nName: 3918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1931312461374213, std values: 4.7320699145480045, min values: 4.4025e-07, max values: 38.1, median values: 0.14518, and quantile values: 0.25 0.043922\n0.50 0.145180\n0.75 0.558815\nName: 3919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7373092746820125, std values: 5.135350534755467, min values: 5.4354e-07, max values: 42.481, median values: 0.27211, and quantile values: 0.25 0.075481\n0.50 0.272110\n0.75 1.202000\nName: 3920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.709209453744214, std values: 5.036472493615624, min values: 5.2123e-07, max values: 40.284, median values: 0.274, and quantile values: 0.25 0.070678\n0.50 0.274000\n0.75 1.267200\nName: 3921, dtype: float64, respectively.", "A sample with 159 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0.083429\n0.50 0.293150\n0.75 1.015800\nName: 3928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6188533784955976, std values: 5.397372297329038, min values: 3.0588e-06, max values: 46.551, median values: 0.27547, and quantile values: 0.25 0.065893\n0.50 0.275470\n0.75 0.942960\nName: 3929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6898551133654087, std values: 5.116549907754168, min values: 5.4185e-06, max values: 40.519, median values: 0.28926, and quantile values: 0.25 0.085342\n0.50 0.289260\n0.75 1.034700\nName: 3930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4579757835246543, std values: 4.737818689183812, min values: 1.963e-08, max values: 37.619, median values: 0.19502, and quantile values: 0.25 0.047415\n0.50 0.195020\n0.75 0.829610\nName: 3931, dtype: float64, respectively.", "A sample with 159 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0.073458\n0.50 0.259900\n0.75 0.958245\nName: 3938, 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: 3939, 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: 3940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4748099136953456, std values: 5.0899560855380255, min values: 1.1486e-07, max values: 44.387, median values: 0.19464, and quantile values: 0.25 0.045556\n0.50 0.194640\n0.75 0.829620\nName: 3941, dtype: float64, respectively.", "A sample with 159 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36.849, median values: 0.14924, and quantile values: 0.25 0.042617\n0.50 0.149240\n0.75 0.667350\nName: 4075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5294503410308173, std values: 5.001784682517756, min values: 1.9713e-06, max values: 40.008, median values: 0.23126, and quantile values: 0.25 0.061677\n0.50 0.231260\n0.75 0.959030\nName: 4076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6280225759880502, std values: 5.123369572770564, min values: 5.8443e-06, max values: 39.923, median values: 0.26611, and quantile values: 0.25 0.069624\n0.50 0.266110\n0.75 0.893845\nName: 4077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5588793599471447, std values: 4.994333502176855, min values: 2.6826e-08, max values: 41.922, median values: 0.25612, and quantile values: 0.25 0.05378\n0.50 0.25612\n0.75 0.97722\nName: 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