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38.318, median values: 0.20659, and quantile values: 0.25 0.061262\n0.50 0.206590\n0.75 0.830165\nName: 1058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6533057364257864, std values: 4.946283249733483, min values: 1.3544e-06, max values: 38.92, median values: 0.25859, and quantile values: 0.25 0.070438\n0.50 0.258590\n0.75 1.109100\nName: 1059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3392754213020124, std values: 4.9136238305709075, min values: 8.2542e-07, max values: 41.245, median values: 0.19869, and quantile values: 0.25 0.057554\n0.50 0.198690\n0.75 0.688720\nName: 1060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4656479064188679, std values: 4.955423726843203, min values: 1.7538e-06, max values: 40.075, median values: 0.23793, and quantile values: 0.25 0.061557\n0.50 0.237930\n0.75 0.852530\nName: 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median values: 0.25354, and quantile values: 0.25 0.077233\n0.50 0.253540\n0.75 0.913240\nName: 1068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373217050196478, std values: 4.862061507857137, min values: 8.4384e-07, max values: 39.739, median values: 0.18776, and quantile values: 0.25 0.055667\n0.50 0.187760\n0.75 0.769190\nName: 1069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2445717102772957, std values: 4.367535886147979, min values: 1.3749e-07, max values: 37.51, median values: 0.1687, and quantile values: 0.25 0.04229\n0.50 0.16870\n0.75 0.69631\nName: 1070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.752546967825346, std values: 5.077470265662952, min values: 9.7753e-07, max values: 39.913, median values: 0.31567, and quantile values: 0.25 0.078348\n0.50 0.315670\n0.75 1.252400\nName: 1071, dtype: 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0.224970\n0.75 1.000910\nName: 1258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3752588264452832, std values: 4.761683379091645, min values: 2.1788e-06, max values: 39.505, median values: 0.20333, and quantile values: 0.25 0.054156\n0.50 0.203330\n0.75 0.846745\nName: 1259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545631762881761, std values: 4.978059209812746, min values: 4.0106e-06, max values: 40.054, median values: 0.23443, and quantile values: 0.25 0.061482\n0.50 0.234430\n0.75 0.942450\nName: 1260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5176056984100628, std values: 4.773430524953638, min values: 1.5259e-06, max values: 38.812, median values: 0.22714, and quantile values: 0.25 0.066042\n0.50 0.227140\n0.75 0.963615\nName: 1261, dtype: float64, respectively.", "A sample with 159 features 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values: 3.4295e-06, max values: 40.858, median values: 0.27547, and quantile values: 0.25 0.075531\n0.50 0.275470\n0.75 0.959375\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4464484684098113, std values: 5.0214104655882945, min values: 4.9336e-07, max values: 42.867, median values: 0.19125, and quantile values: 0.25 0.054575\n0.50 0.191250\n0.75 0.802070\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6612423460722014, std values: 5.144842032124167, min values: 1.2808e-07, max values: 43.076, median values: 0.21856, and quantile values: 0.25 0.059606\n0.50 0.218560\n0.75 1.044100\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627016034463522, std values: 4.955785758766513, min values: 1.1631e-06, max values: 39.313, median values: 0.28932, and quantile values: 0.25 0.076999\n0.50 0.289320\n0.75 1.152500\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473521360693713, std values: 4.96023541141697, min values: 2.7344e-07, max values: 41.98, median values: 0.22786, and quantile values: 0.25 0.053227\n0.50 0.227860\n0.75 0.778655\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3226362874562891, std values: 4.492546552202894, min values: 1.7944e-07, max values: 36.624, median values: 0.18248, and quantile values: 0.25 0.046249\n0.50 0.182480\n0.75 0.756195\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224608327086163, std values: 4.817157197380182, min values: 1.8427e-07, max values: 38.516, median values: 0.19846, and quantile values: 0.25 0.055840\n0.50 0.198460\n0.75 0.810385\nName: 1271, dtype: float64, respectively.", "A sample with 159 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0.089401\n0.50 0.310450\n0.75 1.387250\nName: 1508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.650349210857862, std values: 4.964648345201433, min values: 2.0677e-06, max values: 39.408, median values: 0.2693, and quantile values: 0.25 0.075519\n0.50 0.269300\n0.75 1.133300\nName: 1509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4401620718074846, std values: 4.790187914565467, min values: 3.8209e-07, max values: 37.971, median values: 0.19239, and quantile values: 0.25 0.056386\n0.50 0.192390\n0.75 0.864640\nName: 1510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6875018455339623, std values: 4.986178337528387, min values: 1.6803e-06, max values: 38.891, median values: 0.27559, and quantile values: 0.25 0.075004\n0.50 0.275590\n0.75 1.152400\nName: 1511, dtype: float64, respectively.", "A sample with 159 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0.117700\n0.75 0.580295\nName: 1528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449046265894591, std values: 4.959671182495481, min values: 3.6914e-07, max values: 41.298, median values: 0.20142, and quantile values: 0.25 0.056890\n0.50 0.201420\n0.75 0.858315\nName: 1529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471062852055346, std values: 4.9159002466128, min values: 2.5764e-06, max values: 38.963, median values: 0.23286, and quantile values: 0.25 0.075314\n0.50 0.232860\n0.75 0.769035\nName: 1530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698056701100631, std values: 5.235875768901029, min values: 2.5939e-06, max values: 44.575, median values: 0.23849, and quantile values: 0.25 0.062053\n0.50 0.238490\n0.75 0.902085\nName: 1531, dtype: float64, respectively.", "A sample with 159 features 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5.2891e-07, max values: 38.189, median values: 0.18526, and quantile values: 0.25 0.047013\n0.50 0.185260\n0.75 0.855110\nName: 1535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215200789283647, std values: 4.730970460940339, min values: 3.8041e-07, max values: 37.561, median values: 0.24989, and quantile values: 0.25 0.064146\n0.50 0.249890\n0.75 0.993490\nName: 1536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305527088581131, std values: 4.825200342996328, min values: 6.9804e-07, max values: 38.351, median values: 0.18374, and quantile values: 0.25 0.058239\n0.50 0.183740\n0.75 0.897845\nName: 1537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979314979676102, std values: 4.845362995318494, min values: 4.8065e-07, max values: 39.022, median values: 0.23657, and quantile values: 0.25 0.06068\n0.50 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0.691310\nName: 1598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400070266701761, std values: 4.797117305444159, min values: 4.9898e-07, max values: 38.405, median values: 0.19135, and quantile values: 0.25 0.056474\n0.50 0.191350\n0.75 0.838850\nName: 1599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6484353402691823, std values: 4.998150726442294, min values: 2.2574e-06, max values: 39.559, median values: 0.28303, and quantile values: 0.25 0.078841\n0.50 0.283030\n0.75 1.122500\nName: 1600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502839920161195, std values: 4.930063687141138, min values: 7.2533e-07, max values: 40.861, median values: 0.25653, and quantile values: 0.25 0.070991\n0.50 0.256530\n0.75 0.955215\nName: 1601, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.300370\n0.75 1.029850\nName: 2539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.766831177083019, std values: 5.369077380703232, min values: 3.6607e-06, max values: 44.834, median values: 0.28992, and quantile values: 0.25 0.084421\n0.50 0.289920\n0.75 1.140200\nName: 2540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594012811945156, std values: 5.030481026531083, min values: 2.3328e-08, max values: 43.128, median values: 0.18316, and quantile values: 0.25 0.042734\n0.50 0.183160\n0.75 0.791735\nName: 2541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5395438547327043, std values: 4.697909183447216, min values: 2.524e-06, max values: 38.355, median values: 0.27021, and quantile values: 0.25 0.074506\n0.50 0.270210\n0.75 1.016750\nName: 2542, dtype: float64, respectively.", "A sample with 159 features 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0.080217\n0.50 0.301110\n0.75 1.008500\nName: 2943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089963716981132, std values: 5.0152505246592485, min values: 1.4772e-06, max values: 41.051, median values: 0.2067, and quantile values: 0.25 0.067053\n0.50 0.206700\n0.75 0.872255\nName: 2944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366580223559747, std values: 4.747269602274574, min values: 1.89e-06, max values: 38.361, median values: 0.25502, and quantile values: 0.25 0.072552\n0.50 0.255020\n0.75 1.010480\nName: 2945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4998695639020758, std values: 4.928998226216387, min values: 7.1323e-07, max values: 39.084, median values: 0.2011, and quantile values: 0.25 0.066495\n0.50 0.201100\n0.75 0.895340\nName: 2946, dtype: float64, respectively.", "A sample with 159 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median values: 0.29221, and quantile values: 0.25 0.088675\n0.50 0.292210\n0.75 1.123900\nName: 3010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2100977295462894, std values: 4.384450952739304, min values: 1.0653e-07, max values: 35.95, median values: 0.15753, and quantile values: 0.25 0.041483\n0.50 0.157530\n0.75 0.660445\nName: 3011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7535531450358492, std values: 5.254716192418801, min values: 2.5829e-06, max values: 43.168, median values: 0.3002, and quantile values: 0.25 0.082322\n0.50 0.300200\n0.75 1.177400\nName: 3012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6259011717981133, std values: 5.152010884753203, min values: 1.0743e-06, max values: 43.116, median values: 0.24342, and quantile values: 0.25 0.065335\n0.50 0.243420\n0.75 1.071150\nName: 3013, 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0.267210\n0.75 0.954695\nName: 3477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5568498556113206, std values: 5.082437010277743, min values: 3.7965e-06, max values: 40.715, median values: 0.23019, and quantile values: 0.25 0.074740\n0.50 0.230190\n0.75 0.974815\nName: 3478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777857678012578, std values: 5.002001665992527, min values: 1.0364e-06, max values: 41.69, median values: 0.25749, and quantile values: 0.25 0.067372\n0.50 0.257490\n0.75 0.852310\nName: 3479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5947231516703837, std values: 5.057867301626464, min values: 2.8921e-08, max values: 42.488, median values: 0.20917, and quantile values: 0.25 0.053287\n0.50 0.209170\n0.75 1.097200\nName: 3480, dtype: float64, respectively.", "A sample with 159 features 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40.089, median values: 0.24336, and quantile values: 0.25 0.073792\n0.50 0.243360\n0.75 0.888980\nName: 3661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8287103807679246, std values: 5.272560511266646, min values: 1.3244e-06, max values: 43.197, median values: 0.30763, and quantile values: 0.25 0.079044\n0.50 0.307630\n0.75 1.327250\nName: 3662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4284560290613837, std values: 4.653349660008374, min values: 8.1666e-07, max values: 37.406, median values: 0.21157, and quantile values: 0.25 0.060724\n0.50 0.211570\n0.75 0.920930\nName: 3663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3788124488276603, std values: 4.7952664378106284, min values: 4.5598e-08, max values: 39.172, median values: 0.19561, and quantile values: 0.25 0.055772\n0.50 0.195610\n0.75 0.830015\nName: 3664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076409777132074, std values: 4.729555870341664, min values: 9.921e-07, max values: 38.8, median values: 0.23203, and quantile values: 0.25 0.070535\n0.50 0.232030\n0.75 0.957945\nName: 3665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3344177040761005, std values: 4.7106363733953165, min values: 1.0176e-06, max values: 38.448, median values: 0.18135, and quantile values: 0.25 0.053075\n0.50 0.181350\n0.75 0.786905\nName: 3666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4343480453169812, std values: 5.055734267595373, min values: 1.4271e-06, max values: 42.622, median values: 0.22966, and quantile values: 0.25 0.060788\n0.50 0.229660\n0.75 0.824600\nName: 3667, dtype: float64, respectively.", "A sample with 159 features representing metab data 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41.875, median values: 0.22666, and quantile values: 0.25 0.054737\n0.50 0.226660\n0.75 0.901875\nName: 3671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452226422260377, std values: 4.772445133421634, min values: 3.8894e-07, max values: 38.008, median values: 0.2122, and quantile values: 0.25 0.062989\n0.50 0.212200\n0.75 0.866555\nName: 3672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419633721359748, std values: 4.821875880342779, min values: 5.9822e-07, max values: 38.586, median values: 0.23046, and quantile values: 0.25 0.061687\n0.50 0.230460\n0.75 0.923410\nName: 3673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3928094949088052, std values: 4.795628079425519, min values: 1.3826e-06, max values: 38.091, median values: 0.18699, and quantile values: 0.25 0.058145\n0.50 0.186990\n0.75 0.717300\nName: 3674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882776836836479, std values: 5.293405293081801, min values: 1.2969e-06, max values: 45.92, median values: 0.23457, and quantile values: 0.25 0.067449\n0.50 0.234570\n0.75 0.886995\nName: 3675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346368976684717, std values: 4.87809680945927, min values: 4.0728e-07, max values: 40.812, median values: 0.16207, and quantile values: 0.25 0.046472\n0.50 0.162070\n0.75 0.766710\nName: 3676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406173490738363, std values: 5.085952880876021, min values: 3.6864e-07, max values: 44.322, median values: 0.19008, and quantile values: 0.25 0.051373\n0.50 0.190080\n0.75 0.796600\nName: 3677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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"A sample with 159 features representing metab data with mean values: 1.416346546728931, std values: 4.578051538874398, min values: 1.4169e-06, max values: 38.42, median values: 0.24875, and quantile values: 0.25 0.061704\n0.50 0.248750\n0.75 0.886970\nName: 3725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6194997289013835, std values: 5.140477353746205, min values: 9.3972e-07, max values: 43.72, median values: 0.2723, and quantile values: 0.25 0.073069\n0.50 0.272300\n0.75 1.012865\nName: 3726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3764500542175473, std values: 4.671126895168236, min values: 4.4269e-07, max values: 37.1, median values: 0.21646, and quantile values: 0.25 0.055375\n0.50 0.216460\n0.75 0.795800\nName: 3727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6449019915672953, std values: 5.065896351873687, min values: 3.4613e-06, max values: 40.131, median values: 0.26924, and quantile values: 0.25 0.077481\n0.50 0.269240\n0.75 1.132250\nName: 3728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706278281477988, std values: 4.996036554525593, min values: 3.234e-06, max values: 39.702, median values: 0.28189, and quantile values: 0.25 0.074445\n0.50 0.281890\n0.75 0.982645\nName: 3729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2467537412572327, std values: 4.769474543109258, min values: 1.7474e-06, max values: 39.772, median values: 0.14807, and quantile values: 0.25 0.036601\n0.50 0.148070\n0.75 0.623370\nName: 3730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334874019061006, std values: 4.782776114772847, min values: 4.0857e-07, max values: 38.37, median values: 0.22732, and quantile 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min values: 1.9867e-08, max values: 40.037, median values: 0.18897, and quantile values: 0.25 0.049517\n0.50 0.188970\n0.75 0.892970\nName: 3738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802345274128933, std values: 4.799416307571424, min values: 4.7945e-07, max values: 39.626, median values: 0.20548, and quantile values: 0.25 0.057075\n0.50 0.205480\n0.75 0.895835\nName: 3739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2907975339102264, std values: 4.545614066118473, min values: 2.0336e-08, max values: 36.684, median values: 0.17158, and quantile values: 0.25 0.038857\n0.50 0.171580\n0.75 0.703455\nName: 3740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.671884870008805, std values: 4.844992800315211, min values: 4.3454e-06, max values: 39.693, median values: 0.27804, and quantile values: 0.25 0.076445\n0.50 0.278040\n0.75 1.118900\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393387799987421, std values: 4.77450146967318, min values: 2.776e-06, max values: 39.601, median values: 0.27878, and quantile values: 0.25 0.069548\n0.50 0.278780\n0.75 0.927750\nName: 3742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382402267205283, std values: 4.818172664111527, min values: 7.8194e-07, max values: 38.671, median values: 0.17827, and quantile values: 0.25 0.059598\n0.50 0.178270\n0.75 0.764765\nName: 3743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3818339410704403, std values: 4.896682868647189, min values: 1.4688e-06, max values: 40.141, median values: 0.199, and quantile values: 0.25 0.062499\n0.50 0.199000\n0.75 0.773720\nName: 3744, dtype: float64, respectively.", "A sample with 159 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0.056053\n0.50 0.247840\n0.75 0.941560\nName: 3791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753195842305662, std values: 4.986259149578972, min values: 1.7886e-07, max values: 41.472, median values: 0.22422, and quantile values: 0.25 0.056767\n0.50 0.224220\n0.75 0.911725\nName: 3792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.241119117125157, std values: 4.555922798444042, min values: 1.0021e-06, max values: 37.545, median values: 0.1263, and quantile values: 0.25 0.039692\n0.50 0.126300\n0.75 0.576210\nName: 3793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4254749965490565, std values: 4.78861431795439, min values: 2.068e-06, max values: 39.868, median values: 0.26989, and quantile values: 0.25 0.062600\n0.50 0.269890\n0.75 0.829455\nName: 3794, dtype: float64, respectively.", "A sample with 159 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0.04073\n0.50 0.17498\n0.75 0.75158\nName: 3801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910451054925785, std values: 4.746842589612696, min values: 1.3686e-07, max values: 38.39, median values: 0.20929, and quantile values: 0.25 0.046242\n0.50 0.209290\n0.75 0.805185\nName: 3802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3700335225667926, std values: 4.751576844000936, min values: 5.8072e-07, max values: 37.789, median values: 0.19513, and quantile values: 0.25 0.058177\n0.50 0.195130\n0.75 0.796160\nName: 3803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507856923200629, std values: 5.109912669078989, min values: 1.1732e-06, max values: 43.728, median values: 0.23916, and quantile values: 0.25 0.063939\n0.50 0.239160\n0.75 0.925825\nName: 3804, dtype: float64, respectively.", "A sample with 159 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values: 1.8159e-06, max values: 41.884, median values: 0.25961, and quantile values: 0.25 0.064777\n0.50 0.259610\n0.75 1.039800\nName: 3808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5434169001666036, std values: 4.897685658474183, min values: 7.8469e-07, max values: 39.842, median values: 0.23475, and quantile values: 0.25 0.058354\n0.50 0.234750\n0.75 0.878275\nName: 3809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436539859484277, std values: 4.894328369738096, min values: 2.4718e-06, max values: 39.312, median values: 0.24749, and quantile values: 0.25 0.075512\n0.50 0.247490\n0.75 0.955520\nName: 3810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422946766898742, std values: 4.888873511282826, min values: 1.8185e-06, max values: 39.5, median values: 0.2161, and quantile values: 0.25 0.053088\n0.50 0.216100\n0.75 0.922485\nName: 3811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6758139680952202, std values: 5.141951043481086, min values: 9.4674e-07, max values: 42.666, median values: 0.29115, and quantile values: 0.25 0.076661\n0.50 0.291150\n0.75 1.126200\nName: 3812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5462701759238993, std values: 4.925639434992387, min values: 3.2096e-06, max values: 39.293, median values: 0.25427, and quantile values: 0.25 0.070923\n0.50 0.254270\n0.75 0.928195\nName: 3813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6794895239817609, std values: 5.322545485595655, min values: 3.8085e-06, max values: 44.116, median values: 0.25197, and quantile values: 0.25 0.070895\n0.50 0.251970\n0.75 1.048600\nName: 3814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499787541710694, std values: 4.763921966263722, min values: 1.7965e-06, max values: 38.767, median values: 0.24059, and quantile values: 0.25 0.062362\n0.50 0.240590\n0.75 0.940705\nName: 3815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7872174318842768, std values: 5.162459604067805, min values: 1.3762e-06, max values: 41.467, median values: 0.32798, and quantile values: 0.25 0.086824\n0.50 0.327980\n0.75 1.300800\nName: 3816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4327997491201259, std values: 4.813733777063319, min values: 1.8868e-06, max values: 37.884, median values: 0.18816, and quantile values: 0.25 0.056627\n0.50 0.188160\n0.75 0.802935\nName: 3817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8821097588352202, std values: 5.2068468808125346, min values: 3.5491e-06, max values: 40.228, median values: 0.32388, and quantile values: 0.25 0.095107\n0.50 0.323880\n0.75 1.310000\nName: 3818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115127244483647, std values: 5.015131294470308, min values: 1.6639e-07, max values: 41.483, median values: 0.22813, and quantile values: 0.25 0.060968\n0.50 0.228130\n0.75 1.044370\nName: 3819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684957478020125, std values: 4.8633828534992976, min values: 4.8872e-07, max values: 38.042, median values: 0.24322, and quantile values: 0.25 0.070061\n0.50 0.243220\n0.75 1.060950\nName: 3820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6452029875377359, std values: 5.20688331165099, min values: 4.0123e-06, max values: 42.297, median values: 0.26476, and quantile values: 0.25 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0.287750\n0.75 0.971860\nName: 3851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373294885749629, std values: 4.809083189059196, min values: 6.8011e-08, max values: 40.002, median values: 0.15963, and quantile values: 0.25 0.045349\n0.50 0.159630\n0.75 0.712845\nName: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.81848068515283, std values: 5.512040102527681, min values: 4.743e-06, max values: 46.297, median values: 0.29344, and quantile values: 0.25 0.075984\n0.50 0.293440\n0.75 1.183200\nName: 3853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762656295591947, std values: 4.82224598789113, min values: 3.1032e-08, max values: 39.367, median values: 0.21145, and quantile values: 0.25 0.047477\n0.50 0.211450\n0.75 0.907680\nName: 3854, dtype: float64, respectively.", "A sample with 159 features 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2.2647e-07, max values: 38.494, median values: 0.20523, and quantile values: 0.25 0.054874\n0.50 0.205230\n0.75 0.805545\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7314870333509431, std values: 5.015964900235926, min values: 1.7984e-06, max values: 38.925, median values: 0.29691, and quantile values: 0.25 0.081381\n0.50 0.296910\n0.75 1.306200\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759938711075473, std values: 4.904705897094501, min values: 1.9163e-06, max values: 39.048, median values: 0.21577, and quantile values: 0.25 0.067585\n0.50 0.215770\n0.75 0.918915\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5469789142742139, std values: 4.915102990334914, min values: 1.4387e-06, max values: 39.06, median values: 0.2514, and quantile values: 0.25 0.074132\n0.50 0.251400\n0.75 0.946350\nName: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895313071015095, std values: 4.725309081827109, min values: 2.7704e-07, max values: 37.893, median values: 0.19962, and quantile values: 0.25 0.063617\n0.50 0.199620\n0.75 0.904515\nName: 3862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064467359113209, std values: 4.8534560833787115, min values: 7.965e-07, max values: 38.944, median values: 0.17689, and quantile values: 0.25 0.05000\n0.50 0.17689\n0.75 0.82332\nName: 3863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5737842208038995, std values: 5.025463164587234, min values: 5.7292e-07, max values: 41.465, median values: 0.22552, and quantile values: 0.25 0.064677\n0.50 0.225520\n0.75 1.047800\nName: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7433462558106916, std values: 4.978953011495355, min values: 1.3261e-06, max values: 38.405, median values: 0.32009, and quantile values: 0.25 0.086038\n0.50 0.320090\n0.75 1.260100\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4727254315283018, std values: 4.880187893334482, min values: 1.3706e-06, max values: 38.926, median values: 0.24035, and quantile values: 0.25 0.060542\n0.50 0.240350\n0.75 0.868565\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5229487379494966, std values: 4.925910261007296, min values: 5.6697e-07, max values: 40.157, median values: 0.21982, and quantile values: 0.25 0.063504\n0.50 0.219820\n0.75 0.993185\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5406983650691823, std values: 4.884731090423901, min values: 1.9594e-06, max values: 39.24, median values: 0.23925, and quantile values: 0.25 0.069496\n0.50 0.239250\n0.75 0.966435\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473791263662264, std values: 5.051657297575856, min values: 2.7404e-06, max values: 41.286, median values: 0.23397, and quantile values: 0.25 0.068034\n0.50 0.233970\n0.75 0.784830\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802535655093962, std values: 4.767520476754118, min values: 1.7854e-08, max values: 40.046, median values: 0.16448, and quantile values: 0.25 0.038467\n0.50 0.164480\n0.75 0.720890\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2257910650710693, std values: 4.6303337392875905, min values: 1.0769e-06, max values: 38.703, median values: 0.16224, and quantile values: 0.25 0.049839\n0.50 0.162240\n0.75 0.648230\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5949271897182389, std values: 5.048883087748658, min values: 2.4264e-06, max values: 39.696, median values: 0.25387, and quantile values: 0.25 0.063328\n0.50 0.253870\n0.75 1.105850\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525563210157232, std values: 4.852385550452458, min values: 1.0574e-06, max values: 38.228, median values: 0.23402, and quantile values: 0.25 0.060839\n0.50 0.234020\n0.75 1.021650\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3452793303696289, std values: 4.584932931216856, min values: 2.1831e-08, max values: 36.953, median values: 0.17082, and quantile values: 0.25 0.047119\n0.50 0.170820\n0.75 0.741790\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6221017746773585, std values: 5.1317988765178235, min values: 1.1371e-06, max values: 43.075, median values: 0.23028, and quantile values: 0.25 0.061524\n0.50 0.230280\n0.75 1.015500\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6315875985943395, std values: 5.098932936160149, min values: 2.8546e-06, max values: 41.256, median values: 0.26628, and quantile values: 0.25 0.073609\n0.50 0.266280\n0.75 1.087550\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3805044279323708, std values: 4.591231929958184, min values: 1.8657e-08, max values: 36.155, median values: 0.19954, and quantile values: 0.25 0.044579\n0.50 0.199540\n0.75 0.744255\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3944421163298302, std values: 4.496197398057107, min values: 1.5323e-08, max values: 35.173, median values: 0.16946, and quantile values: 0.25 0.040342\n0.50 0.169460\n0.75 0.757970\nName: 3878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165867583696854, std values: 4.715152041480441, min values: 8.8478e-07, max values: 38.248, median values: 0.21159, and quantile values: 0.25 0.057542\n0.50 0.211590\n0.75 0.915895\nName: 3879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7054483165383647, std values: 5.041843917328843, min values: 2.3259e-06, max values: 39.419, median values: 0.30152, and quantile values: 0.25 0.089584\n0.50 0.301520\n0.75 1.142300\nName: 3880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.235337197219585, std values: 4.711474991191676, min values: 1.8904e-08, max values: 39.394, median values: 0.13567, and quantile values: 0.25 0.032863\n0.50 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39.676, median values: 0.24159, and quantile values: 0.25 0.07796\n0.50 0.24159\n0.75 0.99146\nName: 3928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4120018679327233, std values: 4.624642868437623, min values: 6.2513e-08, max values: 36.408, median values: 0.19684, and quantile values: 0.25 0.041013\n0.50 0.196840\n0.75 0.775175\nName: 3929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662894193308174, std values: 4.788531380484215, min values: 2.0908e-06, max values: 38.757, median values: 0.2526, and quantile values: 0.25 0.074879\n0.50 0.252600\n0.75 1.022365\nName: 3930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521681770773585, std values: 5.028270919001923, min values: 3.1972e-06, max values: 41.025, median values: 0.21284, and quantile values: 0.25 0.064792\n0.50 0.212840\n0.75 0.810135\nName: 3931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443435631147545, std values: 4.883990076548345, min values: 6.5786e-08, max values: 40.741, median values: 0.23312, and quantile values: 0.25 0.053456\n0.50 0.233120\n0.75 0.859405\nName: 3932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3210045863192454, std values: 4.5204830625709596, min values: 2.8636e-07, max values: 37.28, median values: 0.19357, and quantile values: 0.25 0.048824\n0.50 0.193570\n0.75 0.785230\nName: 3933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5242500917924526, std values: 5.3231602821245065, min values: 2.5924e-06, max values: 46.207, median values: 0.23313, and quantile values: 0.25 0.06553\n0.50 0.23313\n0.75 0.87363\nName: 3934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.21274, and quantile values: 0.25 0.062349\n0.50 0.212740\n0.75 0.851735\nName: 3938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820974046333331, std values: 4.821110471169393, min values: 1.5238e-06, max values: 39.222, median values: 0.24189, and quantile values: 0.25 0.067677\n0.50 0.241890\n0.75 1.039000\nName: 3939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.394542400894214, std values: 4.975711641856391, min values: 7.1468e-07, max values: 41.642, median values: 0.18894, and quantile values: 0.25 0.056681\n0.50 0.188940\n0.75 0.747740\nName: 3940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6781312764503147, std values: 5.076610687817013, min values: 1.4836e-06, max values: 40.696, median values: 0.28645, and quantile values: 0.25 0.073672\n0.50 0.286450\n0.75 1.119950\nName: 3941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3455768172315097, std values: 4.717940989375122, min values: 2.2179e-07, max values: 37.84, median values: 0.18297, and quantile values: 0.25 0.043402\n0.50 0.182970\n0.75 0.767260\nName: 3942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440372441918868, std values: 4.83828566275636, min values: 1.4015e-06, max values: 39.046, median values: 0.20749, and quantile values: 0.25 0.063461\n0.50 0.207490\n0.75 0.844040\nName: 3943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437203289696604, std values: 4.912523400025579, min values: 1.9451e-07, max values: 41.294, median values: 0.18012, and quantile values: 0.25 0.051797\n0.50 0.180120\n0.75 0.770340\nName: 3944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582108340422264, std values: 5.260038172439845, min values: 6.3374e-07, max values: 46.021, median values: 0.24904, and quantile values: 0.25 0.062737\n0.50 0.249040\n0.75 0.944720\nName: 3945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4931708641962265, std values: 4.841692236928101, min values: 1.3178e-06, max values: 38.807, median values: 0.22787, and quantile values: 0.25 0.070514\n0.50 0.227870\n0.75 0.891195\nName: 3946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5430217768286794, std values: 4.804038914606811, min values: 2.0156e-07, max values: 37.936, median values: 0.2065, and quantile values: 0.25 0.059964\n0.50 0.206500\n0.75 1.009970\nName: 3947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3364562355552199, std values: 4.786650865445244, min values: 7.8398e-07, max values: 38.52, median 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0.214130\n0.75 0.882525\nName: 4208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596698781955346, std values: 4.897958455775613, min values: 2.2653e-06, max values: 38.692, median values: 0.27455, and quantile values: 0.25 0.073562\n0.50 0.274550\n0.75 1.084250\nName: 4209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5041204868374025, std values: 4.894505340299122, min values: 5.3387e-08, max values: 40.237, median values: 0.20045, and quantile values: 0.25 0.046516\n0.50 0.200450\n0.75 0.974440\nName: 4210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613479009650314, std values: 4.9158417646244095, min values: 6.7354e-07, max values: 39.977, median values: 0.21671, and quantile values: 0.25 0.062877\n0.50 0.216710\n0.75 0.882080\nName: 4211, dtype: float64, respectively.", "A sample with 159 features 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metab data with mean values: 1.6206023220960375, std values: 4.874285975438676, min values: 9.7647e-07, max values: 38.221, median values: 0.2574, and quantile values: 0.25 0.075168\n0.50 0.257400\n0.75 1.166850\nName: 4342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227320508710692, std values: 4.7515790861624705, min values: 1.7941e-06, max values: 38.999, median values: 0.22608, and quantile values: 0.25 0.064556\n0.50 0.226080\n0.75 0.859305\nName: 4343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6083417405433962, std values: 4.838601145702135, min values: 2.2934e-06, max values: 38.974, median values: 0.26382, and quantile values: 0.25 0.074357\n0.50 0.263820\n0.75 1.100550\nName: 4344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7375938671754718, std values: 5.123977091607006, min values: 3.2733e-06, max values: 40.028, median values: 0.30455, and quantile values: 0.25 0.084599\n0.50 0.304550\n0.75 1.203050\nName: 4345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589151360761006, std values: 4.7167485932030955, min values: 1.1198e-06, max values: 37.84, median values: 0.21989, and quantile values: 0.25 0.065598\n0.50 0.219890\n0.75 0.907590\nName: 4346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689463707090566, std values: 4.997908153045519, min values: 2.4108e-06, max values: 39.517, median values: 0.29012, and quantile values: 0.25 0.079261\n0.50 0.290120\n0.75 1.178050\nName: 4347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5004485783226416, std values: 5.235275065359695, min values: 1.4933e-06, max values: 45.614, median values: 0.20717, and quantile values: 0.25 0.05907\n0.50 0.20717\n0.75 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0.152210\n0.75 0.632855\nName: 4675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492410467687654, std values: 4.846196129796737, min values: 2.4137e-08, max values: 39.392, median values: 0.20978, and quantile values: 0.25 0.05510\n0.50 0.20978\n0.75 0.98253\nName: 4676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657459968732075, std values: 4.897202014596692, min values: 8.4374e-07, max values: 38.828, median values: 0.24021, and quantile values: 0.25 0.065491\n0.50 0.240210\n0.75 1.034400\nName: 4677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2173348792719685, std values: 4.635385729877391, min values: 7.0233e-08, max values: 37.849, median values: 0.17233, and quantile values: 0.25 0.03928\n0.50 0.17233\n0.75 0.63454\nName: 4678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773478054040378, std values: 4.669827801462082, min values: 2.0252e-08, max values: 36.867, median values: 0.16513, and quantile values: 0.25 0.048137\n0.50 0.165130\n0.75 0.771515\nName: 4679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382961989739975, std values: 4.645476787334542, min values: 2.8146e-08, max values: 36.71, median values: 0.17534, and quantile values: 0.25 0.046304\n0.50 0.175340\n0.75 0.777270\nName: 4680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827615196207547, std values: 5.170570588360121, min values: 1.386e-06, max values: 43.598, median values: 0.22282, and quantile values: 0.25 0.063382\n0.50 0.222820\n0.75 1.028850\nName: 4681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302114791475097, std values: 4.725502015935802, min values: 2.3954e-08, 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39.42, median values: 0.27572, and quantile values: 0.25 0.082838\n0.50 0.275720\n0.75 1.091700\nName: 4809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337613008069182, std values: 4.582559404033547, min values: 1.6374e-06, max values: 38.804, median values: 0.19022, and quantile values: 0.25 0.065421\n0.50 0.190220\n0.75 0.763255\nName: 4810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4630853302503142, std values: 4.925239726205263, min values: 1.047e-06, max values: 39.647, median values: 0.2245, and quantile values: 0.25 0.050973\n0.50 0.224500\n0.75 0.887975\nName: 4811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.783135739171698, std values: 5.108469922552815, min values: 4.3404e-06, max values: 39.612, median values: 0.29816, and quantile values: 0.25 0.076914\n0.50 0.298160\n0.75 1.262800\nName: 4812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5126811195490566, std values: 4.89015167983177, min values: 1.9595e-06, max values: 38.837, median values: 0.25285, and quantile values: 0.25 0.069980\n0.50 0.252850\n0.75 0.970745\nName: 4813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745358311226415, std values: 4.878416897176157, min values: 1.2187e-06, max values: 38.805, median values: 0.21119, and quantile values: 0.25 0.061991\n0.50 0.211190\n0.75 0.851240\nName: 4814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083962839184905, std values: 4.656912597363208, min values: 5.2204e-07, max values: 38.05, median values: 0.21126, and quantile values: 0.25 0.060769\n0.50 0.211260\n0.75 0.839870\nName: 4815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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values: 0.2332, and quantile values: 0.25 0.067275\n0.50 0.233200\n0.75 0.989305\nName: 5346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515536952445912, std values: 5.070456337871362, min values: 2.9145e-06, max values: 40.983, median values: 0.22895, and quantile values: 0.25 0.066734\n0.50 0.228950\n0.75 0.895655\nName: 5347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4869151815839308, std values: 4.938572678660219, min values: 2.0845e-08, max values: 41.186, median values: 0.22487, and quantile values: 0.25 0.054514\n0.50 0.224870\n0.75 0.897810\nName: 5348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408262869038365, std values: 4.903231028590238, min values: 1.4841e-06, max values: 40.763, median values: 0.20913, and quantile values: 0.25 0.064625\n0.50 0.209130\n0.75 0.800750\nName: 5349, dtype: 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"A sample with 159 features representing metab data with mean values: 1.7023256139578617, std values: 4.901601982406581, min values: 1.0505e-06, max values: 37.975, median values: 0.2864, and quantile values: 0.25 0.073819\n0.50 0.286400\n0.75 1.216250\nName: 5480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2732142676274214, std values: 4.752846095277929, min values: 1.4502e-07, max values: 39.845, median values: 0.17246, and quantile values: 0.25 0.042410\n0.50 0.172460\n0.75 0.692405\nName: 5481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5507109022792454, std values: 5.212709531098815, min values: 3.209e-06, max values: 42.697, median values: 0.25067, and quantile values: 0.25 0.064692\n0.50 0.250670\n0.75 0.894260\nName: 5482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6336835929987419, std values: 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0.261080\n0.75 1.069550\nName: 5546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046732113461636, std values: 4.811994937753203, min values: 5.2924e-07, max values: 38.017, median values: 0.2242, and quantile values: 0.25 0.061632\n0.50 0.224200\n0.75 0.978950\nName: 5547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38397354784922, std values: 4.755233540008809, min values: 1.5522e-08, max values: 39.494, median values: 0.15791, and quantile values: 0.25 0.028057\n0.50 0.157910\n0.75 0.808560\nName: 5548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486653026355283, std values: 4.731888250729828, min values: 3.5629e-07, max values: 37.889, median values: 0.25569, and quantile values: 0.25 0.058148\n0.50 0.255690\n0.75 0.987815\nName: 5549, dtype: float64, respectively.", "A sample with 159 features 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37.607, median values: 0.24528, and quantile values: 0.25 0.066167\n0.50 0.245280\n0.75 0.998575\nName: 5593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179267636580628, std values: 4.664880055107851, min values: 1.8332e-08, max values: 37.645, median values: 0.19701, and quantile values: 0.25 0.057997\n0.50 0.197010\n0.75 0.906850\nName: 5594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912294479401257, std values: 4.923344429283602, min values: 2.1558e-07, max values: 39.387, median values: 0.26794, and quantile values: 0.25 0.068091\n0.50 0.267940\n0.75 1.122250\nName: 5595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704860578608804, std values: 5.009199979546653, min values: 1.8078e-07, max values: 43.79, median values: 0.17728, and quantile values: 0.25 0.048208\n0.50 0.177280\n0.75 0.701500\nName: 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values: 0.18488, and quantile values: 0.25 0.049891\n0.50 0.184880\n0.75 0.753995\nName: 5613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.881958591018868, std values: 5.216933271348589, min values: 2.5627e-06, max values: 40.027, median values: 0.32511, and quantile values: 0.25 0.086148\n0.50 0.325110\n0.75 1.426850\nName: 5614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6729339915725785, std values: 4.684280135516817, min values: 1.4134e-07, max values: 37.424, median values: 0.29881, and quantile values: 0.25 0.075962\n0.50 0.298810\n0.75 1.141950\nName: 5615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4626741733484276, std values: 4.68261613105164, min values: 1.1024e-06, max values: 38.293, median values: 0.22002, and quantile values: 0.25 0.073323\n0.50 0.220020\n0.75 0.918950\nName: 5616, dtype: 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0.058762\n0.50 0.199140\n0.75 0.857500\nName: 5733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593112920714346, std values: 4.8147614951492255, min values: 3.8381e-08, max values: 37.426, median values: 0.22352, and quantile values: 0.25 0.057433\n0.50 0.223520\n0.75 1.112550\nName: 5734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575341439893082, std values: 4.980122375378672, min values: 3.9427e-06, max values: 40.322, median values: 0.2373, and quantile values: 0.25 0.068023\n0.50 0.237300\n0.75 0.983260\nName: 5735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171400285154089, std values: 5.097719348820005, min values: 7.2215e-07, max values: 43.028, median values: 0.21446, and quantile values: 0.25 0.057771\n0.50 0.214460\n0.75 0.928900\nName: 5736, dtype: float64, respectively.", "A sample with 159 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0.217180\n0.75 0.818475\nName: 5743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4160989056163524, std values: 4.805921237131841, min values: 6.443e-07, max values: 39.309, median values: 0.19069, and quantile values: 0.25 0.052631\n0.50 0.190690\n0.75 0.842020\nName: 5744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2402283829811949, std values: 4.65144157309767, min values: 7.5751e-07, max values: 38.901, median values: 0.17016, and quantile values: 0.25 0.045784\n0.50 0.170160\n0.75 0.713995\nName: 5745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.576318959488679, std values: 5.1989028529450305, min values: 1.2326e-06, max values: 44.812, median values: 0.23933, and quantile values: 0.25 0.072868\n0.50 0.239330\n0.75 0.986670\nName: 5746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776647971654087, std values: 4.899196205037815, min values: 1.317e-06, max values: 39.026, median values: 0.24557, and quantile values: 0.25 0.066306\n0.50 0.245570\n0.75 1.045950\nName: 5747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703529382125786, std values: 5.042898968676125, min values: 1.01e-06, max values: 41.449, median values: 0.17094, and quantile values: 0.25 0.052360\n0.50 0.170940\n0.75 0.864725\nName: 5748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6801054072440254, std values: 5.011623041185701, min values: 3.3305e-06, max values: 39.056, median values: 0.3081, and quantile values: 0.25 0.081883\n0.50 0.308100\n0.75 1.137450\nName: 5749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53267838366805, std values: 4.764688521168874, min values: 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max values: 40.972, median values: 0.32581, and quantile values: 0.25 0.09315\n0.50 0.32581\n0.75 1.26340\nName: 6007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3970680665327042, std values: 4.87535755120759, min values: 1.0663e-06, max values: 39.537, median values: 0.21722, and quantile values: 0.25 0.058652\n0.50 0.217220\n0.75 0.790845\nName: 6008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5932491418861006, std values: 4.924011892406844, min values: 6.7639e-07, max values: 38.93, median values: 0.26965, and quantile values: 0.25 0.073163\n0.50 0.269650\n0.75 1.121000\nName: 6009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4086345048937106, std values: 4.978291646822871, min values: 1.4628e-06, max values: 41.048, median values: 0.19863, and quantile values: 0.25 0.053913\n0.50 0.198630\n0.75 0.861690\nName: 6010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3991861801196226, std values: 4.8053115712977, min values: 4.9762e-07, max values: 38.411, median values: 0.21127, and quantile values: 0.25 0.061289\n0.50 0.211270\n0.75 0.838465\nName: 6011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428861134880503, std values: 4.926860761984353, min values: 2.0243e-06, max values: 38.992, median values: 0.26963, and quantile values: 0.25 0.075439\n0.50 0.269630\n0.75 0.966700\nName: 6012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3879425627765407, std values: 4.649184878253923, min values: 2.4287e-07, max values: 37.116, median values: 0.23071, and quantile values: 0.25 0.057628\n0.50 0.230710\n0.75 0.806350\nName: 6013, dtype: float64, respectively.", "A sample with 159 features representing metab data 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with mean values: 1.5204734242685534, std values: 4.885186791875557, min values: 2.6876e-06, max values: 39.338, median values: 0.2547, and quantile values: 0.25 0.067423\n0.50 0.254700\n0.75 1.022740\nName: 6348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3119464511389938, std values: 4.879861069154049, min values: 1.3391e-06, max values: 39.528, median values: 0.18561, and quantile values: 0.25 0.048847\n0.50 0.185610\n0.75 0.754275\nName: 6349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42069777935, std values: 4.6724633578567785, min values: 2.656e-08, max values: 36.966, median values: 0.21407, and quantile values: 0.25 0.056183\n0.50 0.214070\n0.75 0.899740\nName: 6350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4417237122798743, std values: 4.8373470211585925, min values: 4.897e-07, max values: 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median values: 0.22398, and quantile values: 0.25 0.050965\n0.50 0.223980\n0.75 1.127900\nName: 6728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5784664462892453, std values: 4.927910539217553, min values: 3.3399e-07, max values: 38.829, median values: 0.25093, and quantile values: 0.25 0.06856\n0.50 0.25093\n0.75 1.05780\nName: 6729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444430180928302, std values: 4.784262828395499, min values: 5.383e-07, max values: 38.31, median values: 0.22416, and quantile values: 0.25 0.061669\n0.50 0.224160\n0.75 0.881905\nName: 6730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542165707035912, std values: 4.643110497978014, min values: 7.8771e-07, max values: 38.049, median values: 0.24377, and quantile values: 0.25 0.070329\n0.50 0.243770\n0.75 1.072000\nName: 6731, dtype: 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values: 0.22342, and quantile values: 0.25 0.054086\n0.50 0.223420\n0.75 0.832820\nName: 6738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683650441482579, std values: 4.841489511641856, min values: 3.8083e-08, max values: 39.626, median values: 0.18955, and quantile values: 0.25 0.050204\n0.50 0.189550\n0.75 0.951945\nName: 6739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4870195003597484, std values: 5.012096636531659, min values: 2.5067e-06, max values: 40.518, median values: 0.24837, and quantile values: 0.25 0.061741\n0.50 0.248370\n0.75 0.928845\nName: 6740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614552803279247, std values: 4.9261221877195736, min values: 3.7914e-07, max values: 41.062, median values: 0.16636, and quantile values: 0.25 0.046874\n0.50 0.166360\n0.75 0.699100\nName: 6741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5449672783374844, std values: 5.074506126356414, min values: 9.2886e-07, max values: 42.788, median values: 0.23137, and quantile values: 0.25 0.056215\n0.50 0.231370\n0.75 0.957655\nName: 6742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570414395603772, std values: 4.731151068437151, min values: 1.6835e-06, max values: 38.383, median values: 0.23407, and quantile values: 0.25 0.065605\n0.50 0.234070\n0.75 0.933080\nName: 6743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520047434003142, std values: 4.941500501960755, min values: 8.4175e-07, max values: 38.634, median values: 0.25006, and quantile values: 0.25 0.070318\n0.50 0.250060\n0.75 1.145300\nName: 6744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.21546, and quantile values: 0.25 0.069324\n0.50 0.215460\n0.75 0.939795\nName: 6748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107964721327046, std values: 4.984456841322529, min values: 3.2447e-06, max values: 38.967, median values: 0.28552, and quantile values: 0.25 0.082218\n0.50 0.285520\n0.75 1.025390\nName: 6749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5405617214425156, std values: 5.051533520517955, min values: 3.7976e-07, max values: 42.683, median values: 0.22338, and quantile values: 0.25 0.055073\n0.50 0.223380\n0.75 0.947105\nName: 6750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662892519511948, std values: 4.930374238252047, min values: 3.8444e-07, max values: 40.089, median values: 0.20821, and quantile values: 0.25 0.061335\n0.50 0.208210\n0.75 0.983725\nName: 6751, dtype: 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0.193770\n0.75 0.802785\nName: 6858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408185683657861, std values: 5.059233804072911, min values: 1.4736e-07, max values: 43.713, median values: 0.17698, and quantile values: 0.25 0.044296\n0.50 0.176980\n0.75 0.764205\nName: 6859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479644034863144, std values: 4.696188470922187, min values: 3.1024e-08, max values: 37.214, median values: 0.19889, and quantile values: 0.25 0.058202\n0.50 0.198890\n0.75 0.869220\nName: 6860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4425695601454716, std values: 4.696154484308472, min values: 1.9863e-07, max values: 37.61, median values: 0.21743, and quantile values: 0.25 0.058346\n0.50 0.217430\n0.75 0.892465\nName: 6861, dtype: float64, respectively.", "A sample with 159 features 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0.155240\n0.75 0.688765\nName: 6868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3863146161072326, std values: 4.822080778088187, min values: 4.4625e-07, max values: 39.917, median values: 0.21956, and quantile values: 0.25 0.058171\n0.50 0.219560\n0.75 0.770755\nName: 6869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375809880396038, std values: 4.7744213603817185, min values: 6.4427e-07, max values: 38.112, median values: 0.18911, and quantile values: 0.25 0.055765\n0.50 0.189110\n0.75 0.767645\nName: 6870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3450953070099372, std values: 4.672932415177064, min values: 6.7398e-07, max values: 38.426, median values: 0.1823, and quantile values: 0.25 0.051713\n0.50 0.182300\n0.75 0.803600\nName: 6871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3436580596408805, std values: 4.713470624633225, min values: 1.0877e-06, max values: 37.983, median values: 0.20993, and quantile values: 0.25 0.057646\n0.50 0.209930\n0.75 0.733695\nName: 6872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387272959819497, std values: 4.502149070101784, min values: 1.0967e-06, max values: 37.473, median values: 0.19851, and quantile values: 0.25 0.063627\n0.50 0.198510\n0.75 0.860890\nName: 6873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608618282343396, std values: 5.051651976835593, min values: 2.5255e-06, max values: 40.214, median values: 0.29372, and quantile values: 0.25 0.072048\n0.50 0.293720\n0.75 1.052045\nName: 6874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934941048533336, std values: 4.971424549070832, min values: 2.6258e-07, max values: 42.298, median values: 0.18286, and quantile values: 0.25 0.046793\n0.50 0.182860\n0.75 0.757580\nName: 6875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3597760612203145, std values: 4.578615484623232, min values: 6.8113e-07, max values: 36.943, median values: 0.19995, and quantile values: 0.25 0.056605\n0.50 0.199950\n0.75 0.770680\nName: 6876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4743251225805662, std values: 4.842961025925861, min values: 7.9221e-07, max values: 38.677, median values: 0.24947, and quantile values: 0.25 0.061427\n0.50 0.249470\n0.75 0.931710\nName: 6877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6387157208226413, std values: 5.139370267221221, min values: 6.6894e-06, max values: 41.272, median values: 0.25992, and quantile values: 0.25 0.068861\n0.50 0.259920\n0.75 0.976480\nName: 6878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3740607227520942, std values: 5.195508852390746, min values: 1.7837e-08, max values: 48.076, median values: 0.14921, and quantile values: 0.25 0.033379\n0.50 0.149210\n0.75 0.661845\nName: 6879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6171334382075468, std values: 5.166159779107351, min values: 2.6089e-06, max values: 43.015, median values: 0.27135, and quantile values: 0.25 0.073873\n0.50 0.271350\n0.75 1.072050\nName: 6880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474774066062893, std values: 4.877753396959387, min values: 2.631e-07, max values: 38.945, median values: 0.21572, and quantile values: 0.25 0.055419\n0.50 0.215720\n0.75 0.985125\nName: 6881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2618176338836478, std values: 4.613999801979162, min values: 2.0302e-06, max values: 39.616, median values: 0.16267, and quantile values: 0.25 0.051654\n0.50 0.162670\n0.75 0.706795\nName: 6882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437799790759365, std values: 4.864140224126613, min values: 1.9577e-08, max values: 41.014, median values: 0.18538, and quantile values: 0.25 0.038949\n0.50 0.185380\n0.75 0.770615\nName: 6883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578269829965409, std values: 5.1238035823764525, min values: 2.2104e-06, max values: 42.059, median values: 0.23716, and quantile values: 0.25 0.06708\n0.50 0.23716\n0.75 0.95343\nName: 6884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4449228565701884, std values: 4.785108075426161, min values: 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0.16894, and quantile values: 0.25 0.041391\n0.50 0.168940\n0.75 0.771000\nName: 6945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604839700683648, std values: 5.076755069429616, min values: 1.3493e-06, max values: 41.978, median values: 0.28775, and quantile values: 0.25 0.071641\n0.50 0.287750\n0.75 1.033400\nName: 6946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575044553754718, std values: 4.854011516557266, min values: 1.1511e-06, max values: 38.667, median values: 0.27568, and quantile values: 0.25 0.072815\n0.50 0.275680\n0.75 1.000330\nName: 6947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6899620042415093, std values: 5.265913972596621, min values: 1.6372e-06, max values: 44.75, median values: 0.24583, and quantile values: 0.25 0.072813\n0.50 0.245830\n0.75 1.065650\nName: 6948, dtype: float64, 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0.279920\n0.75 1.107150\nName: 7065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.243652389004478, std values: 4.625134826844843, min values: 2.3962e-08, max values: 37.07, median values: 0.16515, and quantile values: 0.25 0.039013\n0.50 0.165150\n0.75 0.684545\nName: 7066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503071539489811, std values: 4.958913989575376, min values: 6.4158e-07, max values: 40.137, median values: 0.23198, and quantile values: 0.25 0.055846\n0.50 0.231980\n0.75 0.964130\nName: 7067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.707976448694969, std values: 5.083428109065669, min values: 4.7583e-06, max values: 40.043, median values: 0.31586, and quantile values: 0.25 0.081371\n0.50 0.315860\n0.75 1.048050\nName: 7068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.260841061651887, std values: 4.757383935005116, min values: 9.2645e-07, max values: 38.398, median values: 0.19444, and quantile values: 0.25 0.051325\n0.50 0.194440\n0.75 0.615585\nName: 7069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53409791514478, std values: 4.862474218391886, min values: 4.5502e-07, max values: 38.683, median values: 0.25197, and quantile values: 0.25 0.060729\n0.50 0.251970\n0.75 1.013250\nName: 7070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6465932926685536, std values: 5.039145204469506, min values: 1.1117e-06, max values: 40.976, median values: 0.27873, and quantile values: 0.25 0.075132\n0.50 0.278730\n0.75 1.104400\nName: 7071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123743467427673, std values: 4.973674958414004, min values: 1.6194e-06, max values: 40.905, median values: 0.23902, and quantile values: 0.25 0.069999\n0.50 0.239020\n0.75 0.885545\nName: 7072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266328413245912, std values: 4.615330237406718, min values: 2.7527e-07, max values: 36.356, median values: 0.21744, and quantile values: 0.25 0.05586\n0.50 0.21744\n0.75 0.86394\nName: 7073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531930653396415, std values: 4.986049976943495, min values: 8.1363e-07, max values: 41.444, median values: 0.24256, and quantile values: 0.25 0.069518\n0.50 0.242560\n0.75 0.930715\nName: 7074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493305419008302, std values: 4.908333461037665, min values: 9.1182e-07, max values: 39.397, median values: 0.24672, and quantile values: 0.25 0.067508\n0.50 0.246720\n0.75 0.913580\nName: 7075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6469569936813209, std values: 4.959753065996685, min values: 9.1673e-07, max values: 38.666, median values: 0.26987, and quantile values: 0.25 0.06979\n0.50 0.26987\n0.75 1.07955\nName: 7076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9071176149132074, std values: 5.404946954329466, min values: 2.5926e-06, max values: 44.552, median values: 0.36219, and quantile values: 0.25 0.110335\n0.50 0.362190\n0.75 1.455000\nName: 7077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126499277789935, std values: 4.869521746236023, min values: 1.9836e-07, max values: 40.23, median values: 0.20107, and quantile values: 0.25 0.053055\n0.50 0.201070\n0.75 0.788410\nName: 7078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6186890685147797, std values: 5.120680781987515, min values: 4.8535e-07, max values: 43.284, median values: 0.245, and quantile values: 0.25 0.062208\n0.50 0.245000\n0.75 0.989990\nName: 7079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5990083559301886, std values: 4.899980088305603, min values: 1.1607e-06, max values: 38.678, median values: 0.24638, and quantile values: 0.25 0.066743\n0.50 0.246380\n0.75 0.986505\nName: 7080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976189084092892, std values: 4.931377456904255, min values: 2.5177e-08, max values: 41.23, median values: 0.20579, and quantile values: 0.25 0.052023\n0.50 0.205790\n0.75 0.951985\nName: 7081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5591610341031445, std values: 4.840441502301701, min values: 2.4546e-06, max values: 39.313, median values: 0.24447, and quantile values: 0.25 0.072112\n0.50 0.244470\n0.75 1.050900\nName: 7082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621475508818868, std values: 4.918682510340088, min values: 2.0061e-06, max values: 39.338, median values: 0.26808, and quantile values: 0.25 0.066759\n0.50 0.268080\n0.75 1.119800\nName: 7083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475256786460409, std values: 4.884510395306067, min values: 2.4805e-08, max values: 40.228, median values: 0.18941, and quantile values: 0.25 0.049338\n0.50 0.189410\n0.75 0.911265\nName: 7084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818447521798742, std values: 4.827869156019925, min values: 1.6497e-06, max values: 38.457, median values: 0.25985, and quantile values: 0.25 0.070656\n0.50 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2.398e-06, max values: 42.121, median values: 0.2624, and quantile values: 0.25 0.071438\n0.50 0.262400\n0.75 0.952465\nName: 7349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4243765172672957, std values: 4.899095220298124, min values: 1.8229e-06, max values: 39.517, median values: 0.22534, and quantile values: 0.25 0.059202\n0.50 0.225340\n0.75 0.874660\nName: 7350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4053585002557234, std values: 4.609281311500337, min values: 5.9736e-07, max values: 37.822, median values: 0.20115, and quantile values: 0.25 0.057363\n0.50 0.201150\n0.75 0.852515\nName: 7351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6160364470939619, std values: 4.933191209969373, min values: 4.2304e-07, max values: 39.58, median values: 0.26377, and quantile values: 0.25 0.069089\n0.50 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"A sample with 159 features representing metab data with mean values: 1.429934583609434, std values: 4.878890388882441, min values: 1.0229e-06, max values: 38.965, median values: 0.21236, and quantile values: 0.25 0.061727\n0.50 0.212360\n0.75 0.839400\nName: 7473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3479098599288677, std values: 4.6814806080577185, min values: 9.7469e-07, max values: 37.976, median values: 0.20352, and quantile values: 0.25 0.056999\n0.50 0.203520\n0.75 0.794510\nName: 7474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4733188198339622, std values: 4.826725767888669, min values: 2.9316e-06, max values: 39.169, median values: 0.23507, and quantile values: 0.25 0.062683\n0.50 0.235070\n0.75 0.943645\nName: 7475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5538501199742139, std values: 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0.235140\n0.75 0.849900\nName: 7549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5158686247859747, std values: 4.972387774667653, min values: 5.0657e-07, max values: 41.1, median values: 0.19782, and quantile values: 0.25 0.053311\n0.50 0.197820\n0.75 0.862255\nName: 7550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135543096879435, std values: 4.908947968068666, min values: 7.1673e-08, max values: 41.16, median values: 0.16646, and quantile values: 0.25 0.042521\n0.50 0.166460\n0.75 0.765280\nName: 7551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3493229512783018, std values: 4.751629330881124, min values: 4.0505e-07, max values: 38.512, median values: 0.17775, and quantile values: 0.25 0.050179\n0.50 0.177750\n0.75 0.722785\nName: 7552, dtype: float64, respectively.", "A sample with 159 features 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0.184560\n0.75 0.831790\nName: 7609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571097792194339, std values: 4.778944658022537, min values: 6.8099e-07, max values: 38.232, median values: 0.19626, and quantile values: 0.25 0.064123\n0.50 0.196260\n0.75 0.839200\nName: 7610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8077126015264149, std values: 5.280046290278905, min values: 5.5607e-06, max values: 41.004, median values: 0.33312, and quantile values: 0.25 0.096453\n0.50 0.333120\n0.75 1.200250\nName: 7611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487443618262893, std values: 4.852399499378787, min values: 2.0594e-06, max values: 38.834, median values: 0.25407, and quantile values: 0.25 0.075610\n0.50 0.254070\n0.75 0.873485\nName: 7612, dtype: float64, respectively.", "A sample with 159 features 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0.13778, and quantile values: 0.25 0.039813\n0.50 0.137780\n0.75 0.567995\nName: 7816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7080470575452833, std values: 5.201258717954466, min values: 6.3509e-06, max values: 40.563, median values: 0.30165, and quantile values: 0.25 0.079376\n0.50 0.301650\n0.75 1.117100\nName: 7817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361770038827673, std values: 4.957785611912318, min values: 1.7959e-06, max values: 40.816, median values: 0.21195, and quantile values: 0.25 0.060686\n0.50 0.211950\n0.75 0.761475\nName: 7818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5058348598044027, std values: 5.095621536951713, min values: 1.8603e-06, max values: 41.64, median values: 0.24312, and quantile values: 0.25 0.061678\n0.50 0.243120\n0.75 0.959885\nName: 7819, dtype: float64, 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4.944357808347453, min values: 8.7908e-07, max values: 38.423, median values: 0.2642, and quantile values: 0.25 0.071681\n0.50 0.264200\n0.75 1.185850\nName: 7873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489572960306917, std values: 5.052959959829792, min values: 3.1368e-07, max values: 42.632, median values: 0.22574, and quantile values: 0.25 0.056834\n0.50 0.225740\n0.75 0.942120\nName: 7874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478172455411948, std values: 4.74656053249397, min values: 3.4585e-07, max values: 38.015, median values: 0.22503, and quantile values: 0.25 0.059436\n0.50 0.225030\n0.75 0.958775\nName: 7875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.266963579046478, std values: 4.511635344240619, min values: 7.7089e-07, max values: 37.916, median values: 0.15923, and quantile values: 0.25 0.048149\n0.50 0.159230\n0.75 0.706720\nName: 7876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373843354578931, std values: 4.914668663140276, min values: 5.6205e-07, max values: 40.966, median values: 0.19136, and quantile values: 0.25 0.050337\n0.50 0.191360\n0.75 0.816795\nName: 7877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6715622243213835, std values: 5.165512708606666, min values: 2.407e-06, max values: 41.959, median values: 0.31801, and quantile values: 0.25 0.07241\n0.50 0.31801\n0.75 1.10980\nName: 7878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987568045362891, std values: 4.871977224990524, min values: 3.8641e-07, max values: 40.365, median values: 0.2216, and quantile values: 0.25 0.052434\n0.50 0.221600\n0.75 0.850605\nName: 7879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5312502431160377, std values: 5.037415955021426, min values: 4.4505e-07, max values: 42.594, median values: 0.20796, and quantile values: 0.25 0.055789\n0.50 0.207960\n0.75 0.865140\nName: 7880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4253208370937107, std values: 4.674623167603154, min values: 2.3938e-06, max values: 40.082, median values: 0.20974, and quantile values: 0.25 0.063274\n0.50 0.209740\n0.75 0.855270\nName: 7881, 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: 7882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630897632145283, std values: 5.072251083195758, min values: 2.3917e-06, max values: 40.259, median values: 0.27213, and quantile values: 0.25 0.067793\n0.50 0.272130\n0.75 1.064795\nName: 7883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568193510788054, std values: 4.858872426832295, min values: 2.0403e-07, max values: 39.441, median values: 0.19396, and quantile values: 0.25 0.055576\n0.50 0.193960\n0.75 0.896765\nName: 7884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4567155227194968, std values: 4.966004119299343, min values: 7.886e-07, max values: 41.186, median values: 0.21328, and quantile values: 0.25 0.059087\n0.50 0.213280\n0.75 0.818945\nName: 7885, 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 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0.079502\n0.50 0.288980\n0.75 1.171300\nName: 7926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9793779608408806, std values: 5.4121767316719565, min values: 5.3247e-06, max values: 42.125, median values: 0.35226, and quantile values: 0.25 0.10647\n0.50 0.35226\n0.75 1.38610\nName: 7927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900334768761635, std values: 4.73004154805847, min values: 8.0191e-07, max values: 38.357, median values: 0.18406, and quantile values: 0.25 0.050929\n0.50 0.184060\n0.75 0.843115\nName: 7928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187248756740252, std values: 4.844059210832817, min values: 3.9307e-07, max values: 39.264, median values: 0.19811, and quantile values: 0.25 0.058035\n0.50 0.198110\n0.75 0.830915\nName: 7929, dtype: float64, respectively.", "A sample with 159 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0.066055\n0.50 0.251230\n0.75 1.040970\nName: 7936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7474670498528304, std values: 5.045428591929661, min values: 5.9996e-06, max values: 40.822, median values: 0.29764, and quantile values: 0.25 0.082812\n0.50 0.297640\n0.75 1.204350\nName: 7937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783205213301887, std values: 4.731033240447236, min values: 2.3226e-06, max values: 38.282, median values: 0.2318, and quantile values: 0.25 0.071636\n0.50 0.231800\n0.75 0.948165\nName: 7938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570033278333333, std values: 5.000595827661606, min values: 5.475e-06, max values: 40.535, median values: 0.27244, and quantile values: 0.25 0.074341\n0.50 0.272440\n0.75 0.889215\nName: 7939, dtype: float64, respectively.", "A sample with 159 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values: 1.7544e-06, max values: 40.137, median values: 0.23183, and quantile values: 0.25 0.071739\n0.50 0.231830\n0.75 0.992820\nName: 7943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4889103908880503, std values: 4.89406663095144, min values: 1.7364e-06, max values: 38.845, median values: 0.26027, and quantile values: 0.25 0.062822\n0.50 0.260270\n0.75 0.846835\nName: 7944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3662487753705346, std values: 4.896083661143968, min values: 2.9545e-08, max values: 41.376, median values: 0.15869, and quantile values: 0.25 0.043922\n0.50 0.158690\n0.75 0.745570\nName: 7945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461600795019434, std values: 4.735451579869756, min values: 3.2599e-07, max values: 37.719, median values: 0.20477, and quantile values: 0.25 0.057415\n0.50 0.204770\n0.75 0.895170\nName: 7946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648557135446538, std values: 4.895904019933803, min values: 1.8103e-06, max values: 38.986, median values: 0.24553, and quantile values: 0.25 0.069353\n0.50 0.245530\n0.75 0.913670\nName: 7947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672674941809874, std values: 5.38327477208828, min values: 2.9741e-07, max values: 47.944, median values: 0.22618, and quantile values: 0.25 0.058872\n0.50 0.226180\n0.75 1.020720\nName: 7948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6138049129553458, std values: 4.879540170175429, min values: 3.2507e-06, max values: 39.265, median values: 0.26146, and quantile values: 0.25 0.083643\n0.50 0.261460\n0.75 1.073300\nName: 7949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5555822727766666, std values: 4.679600037316387, min values: 2.8979e-07, max values: 38.176, median values: 0.25978, and quantile values: 0.25 0.068132\n0.50 0.259780\n0.75 1.028315\nName: 7950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3832177032823898, std values: 4.710372341054164, min values: 1.4555e-06, max values: 38.713, median values: 0.20012, and quantile values: 0.25 0.063621\n0.50 0.200120\n0.75 0.858010\nName: 7951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174499626578613, std values: 4.825359137238509, min values: 2.1384e-06, max values: 38.693, median values: 0.18634, and quantile values: 0.25 0.058199\n0.50 0.186340\n0.75 0.721745\nName: 7952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4434424587121384, std values: 4.792853355550706, min 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5.4627e-07, max values: 38.273, median values: 0.23773, and quantile values: 0.25 0.062233\n0.50 0.237730\n0.75 0.984575\nName: 8073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3664115382125157, std values: 4.9025760681970105, min values: 6.3169e-07, max values: 40.76, median values: 0.20559, and quantile values: 0.25 0.052459\n0.50 0.205590\n0.75 0.772845\nName: 8074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3255841093734593, std values: 4.786614104497621, min values: 1.3486e-07, max values: 39.866, median values: 0.17091, and quantile values: 0.25 0.043211\n0.50 0.170910\n0.75 0.711330\nName: 8075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7030173355691824, std values: 5.315184497848665, min values: 5.5148e-06, max values: 42.156, median values: 0.28614, and quantile values: 0.25 0.07932\n0.50 0.28614\n0.75 1.04425\nName: 8076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008512444880502, std values: 4.689250824544433, min values: 9.278e-07, max values: 38.068, median values: 0.24106, and quantile values: 0.25 0.064196\n0.50 0.241060\n0.75 0.987135\nName: 8077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657416949235849, std values: 4.922208190650652, min values: 2.5709e-06, max values: 39.462, median values: 0.27923, and quantile values: 0.25 0.083956\n0.50 0.279230\n0.75 1.105550\nName: 8078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290997994754718, std values: 4.947939664264693, min values: 3.6896e-06, max values: 40.022, median values: 0.26028, and quantile values: 0.25 0.069427\n0.50 0.260280\n0.75 0.893425\nName: 8079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2415610485655157, std values: 4.747215776337809, min values: 1.3226e-08, max values: 40.534, median values: 0.12754, and quantile values: 0.25 0.031112\n0.50 0.127540\n0.75 0.576695\nName: 8080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487835724454717, std values: 4.881943041919592, min values: 4.021e-07, max values: 39.869, median values: 0.22521, and quantile values: 0.25 0.060686\n0.50 0.225210\n0.75 0.935890\nName: 8081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398692754525158, std values: 4.822995653458883, min values: 9.3605e-07, max values: 38.865, median values: 0.21025, and quantile values: 0.25 0.060361\n0.50 0.210250\n0.75 0.857900\nName: 8082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6748984309735848, std values: 4.932073345990632, min values: 3.5776e-06, max values: 40.153, median values: 0.27633, and quantile values: 0.25 0.083338\n0.50 0.276330\n0.75 1.142200\nName: 8083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4289805328962266, std values: 5.252344775148533, min values: 1.5034e-06, max values: 46.485, median values: 0.20415, and quantile values: 0.25 0.055609\n0.50 0.204150\n0.75 0.810110\nName: 8084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644795916477988, std values: 4.668224823150625, min values: 1.0379e-06, max values: 38.237, median values: 0.2493, and quantile values: 0.25 0.064321\n0.50 0.249300\n0.75 0.941180\nName: 8085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856360748251572, std values: 4.8934522610478135, min values: 2.2862e-06, max values: 38.267, median values: 0.27706, and quantile values: 0.25 0.086054\n0.50 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39.61, median values: 0.25213, and quantile values: 0.25 0.074371\n0.50 0.252130\n0.75 1.084850\nName: 8470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8200842325140882, std values: 5.17388480418938, min values: 9.6454e-07, max values: 41.303, median values: 0.31253, and quantile values: 0.25 0.07501\n0.50 0.31253\n0.75 1.32755\nName: 8471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6673474976150944, std values: 4.9269753303971635, min values: 2.9931e-06, max values: 39.273, median values: 0.27621, and quantile values: 0.25 0.07443\n0.50 0.27621\n0.75 1.13005\nName: 8472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6355982501992452, std values: 5.08722250586644, min values: 4.5588e-07, max values: 42.033, median values: 0.28043, and quantile values: 0.25 0.067621\n0.50 0.280430\n0.75 1.085700\nName: 8473, 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values: 0.23179, and quantile values: 0.25 0.060055\n0.50 0.231790\n0.75 0.956785\nName: 8480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579614047373585, std values: 4.864603894317183, min values: 1.9363e-06, max values: 38.953, median values: 0.25416, and quantile values: 0.25 0.077987\n0.50 0.254160\n0.75 1.025930\nName: 8481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4773800164874213, std values: 4.831230985757815, min values: 1.3189e-06, max values: 38.663, median values: 0.19858, and quantile values: 0.25 0.059872\n0.50 0.198580\n0.75 0.913580\nName: 8482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5170831115106915, std values: 4.817312777189776, min values: 1.2035e-06, max values: 38.628, median values: 0.22661, and quantile values: 0.25 0.065469\n0.50 0.226610\n0.75 0.949910\nName: 8483, dtype: 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values: 0.19835, and quantile values: 0.25 0.057452\n0.50 0.198350\n0.75 0.759860\nName: 8550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406854360283585, std values: 4.718158137009881, min values: 4.0319e-07, max values: 37.848, median values: 0.21399, and quantile values: 0.25 0.061834\n0.50 0.213990\n0.75 0.863430\nName: 8551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5035146290325787, std values: 4.782025479212746, min values: 8.3928e-07, max values: 38.762, median values: 0.20852, and quantile values: 0.25 0.064354\n0.50 0.208520\n0.75 0.936385\nName: 8552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473688806340566, std values: 4.734902547057881, 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: 8553, dtype: 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0.046945\n0.50 0.191240\n0.75 0.885140\nName: 8750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502231360186163, std values: 5.045540945743048, min values: 1.7286e-07, max values: 42.206, median values: 0.23185, and quantile values: 0.25 0.060903\n0.50 0.231850\n0.75 0.927740\nName: 8751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460064486591195, std values: 5.085961725336145, min values: 1.848e-06, max values: 40.563, median values: 0.24766, and quantile values: 0.25 0.071294\n0.50 0.247660\n0.75 1.032400\nName: 8752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479747102309434, std values: 4.8328293892456955, min values: 1.5175e-06, max values: 38.92, median values: 0.22312, and quantile values: 0.25 0.059354\n0.50 0.223120\n0.75 0.956795\nName: 8753, dtype: float64, respectively.", "A sample with 159 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0.201440\n0.75 0.775085\nName: 8810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5481637102779873, std values: 5.31924780346882, min values: 2.6431e-06, max values: 45.882, median values: 0.23957, and quantile values: 0.25 0.064207\n0.50 0.239570\n0.75 0.934555\nName: 8811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3279502429817611, std values: 4.956337676889765, min values: 1.4707e-06, max values: 41.301, median values: 0.16615, and quantile values: 0.25 0.050296\n0.50 0.166150\n0.75 0.674545\nName: 8812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422376378006918, std values: 4.74560885108137, min values: 3.413e-07, max values: 37.71, median values: 0.21227, and quantile values: 0.25 0.051581\n0.50 0.212270\n0.75 0.792835\nName: 8813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6862252842943395, std values: 5.089737622511678, min values: 2.6734e-06, max values: 40.13, median values: 0.3207, and quantile values: 0.25 0.083459\n0.50 0.320700\n0.75 1.208850\nName: 8814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6509629919220945, std values: 5.220268272586766, min values: 7.0013e-08, max values: 45.422, median values: 0.22795, and quantile values: 0.25 0.060308\n0.50 0.227950\n0.75 1.039910\nName: 8815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5059541119172957, std values: 4.9149987699215325, min values: 2.4085e-07, max values: 40.716, median values: 0.22783, and quantile values: 0.25 0.060389\n0.50 0.227830\n0.75 0.896880\nName: 8816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6034914068998114, std values: 5.101073209147542, min values: 7.7097e-07, max values: 42.521, median values: 0.26759, and quantile values: 0.25 0.069223\n0.50 0.267590\n0.75 1.090850\nName: 8817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257514322628931, std values: 5.0973148815186375, min values: 3.3176e-06, max values: 40.827, median values: 0.23291, and quantile values: 0.25 0.067033\n0.50 0.232910\n0.75 0.886690\nName: 8818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6021974564606292, std values: 4.973807222860296, min values: 3.0184e-07, max values: 40.158, median values: 0.27221, and quantile values: 0.25 0.070349\n0.50 0.272210\n0.75 1.087300\nName: 8819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5586592809534592, std values: 5.359085346574316, min values: 1.4582e-06, max values: 47.839, median values: 0.25154, and quantile values: 0.25 0.067066\n0.50 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40.753, median values: 0.16967, and quantile values: 0.25 0.045402\n0.50 0.169670\n0.75 0.722880\nName: 8857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6015012405684654, std values: 4.925993059955843, min values: 3.0226e-08, max values: 39.952, median values: 0.24787, and quantile values: 0.25 0.060892\n0.50 0.247870\n0.75 1.144150\nName: 8858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3070792396976918, std values: 4.583393359542107, min values: 1.5323e-08, max values: 36.95, median values: 0.16094, and quantile values: 0.25 0.037673\n0.50 0.160940\n0.75 0.648285\nName: 8859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7633626890943395, std values: 5.267668327308413, min values: 4.192e-06, max values: 41.481, median values: 0.30874, and quantile values: 0.25 0.083901\n0.50 0.308740\n0.75 1.134550\nName: 8860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7638764648308176, std values: 5.5572152247976705, min values: 1.8866e-06, max values: 49.191, median values: 0.27093, and quantile values: 0.25 0.079906\n0.50 0.270930\n0.75 1.167700\nName: 8861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6032519021354088, std values: 5.07156990435767, min values: 3.8803e-07, max values: 42.258, median values: 0.25674, and quantile values: 0.25 0.061677\n0.50 0.256740\n0.75 1.039560\nName: 8862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4104561096025157, std values: 4.781594351306032, min values: 1.1752e-06, max values: 38.042, median values: 0.202, and quantile values: 0.25 0.063840\n0.50 0.202000\n0.75 0.868125\nName: 8863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean 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median values: 0.18298, and quantile values: 0.25 0.059664\n0.50 0.182980\n0.75 0.796465\nName: 8867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3696970618510693, std values: 4.887028398352797, min values: 3.7845e-07, max values: 41.287, median values: 0.1898, and quantile values: 0.25 0.047364\n0.50 0.189800\n0.75 0.686060\nName: 8868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4219173163320755, std values: 4.772269083276729, min values: 1.6524e-06, max values: 39.162, median values: 0.20932, and quantile values: 0.25 0.061449\n0.50 0.209320\n0.75 0.899110\nName: 8869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5112516160396228, std values: 4.72204476149917, min values: 4.3311e-06, max values: 40.133, median values: 0.25466, and quantile values: 0.25 0.073475\n0.50 0.254660\n0.75 0.951080\nName: 8870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584265517034151, std values: 5.116982443538165, min values: 7.9143e-07, max values: 43.097, median values: 0.24281, and quantile values: 0.25 0.063176\n0.50 0.242810\n0.75 1.031750\nName: 8871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3420347247555975, std values: 4.868767306266225, min values: 9.2364e-07, max values: 39.743, median values: 0.18175, and quantile values: 0.25 0.060327\n0.50 0.181750\n0.75 0.766775\nName: 8872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1699352216476793, std values: 4.388726704361633, min values: 2.9008e-08, max values: 36.09, median values: 0.13394, and quantile values: 0.25 0.030047\n0.50 0.133940\n0.75 0.573850\nName: 8873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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values: 0.16862, and quantile values: 0.25 0.051370\n0.50 0.168620\n0.75 0.662065\nName: 8877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425742817207546, std values: 5.070688737302314, min values: 2.1993e-06, max values: 41.464, median values: 0.25802, and quantile values: 0.25 0.075014\n0.50 0.258020\n0.75 0.986805\nName: 8878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4543663646572327, std values: 4.738614163548403, min values: 1.0474e-06, max values: 38.172, median values: 0.22334, and quantile values: 0.25 0.065549\n0.50 0.223340\n0.75 0.919575\nName: 8879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3530103639912578, std values: 4.63400457440925, min values: 2.9891e-07, max values: 37.043, median values: 0.19777, and quantile values: 0.25 0.052798\n0.50 0.197770\n0.75 0.783455\nName: 8880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7091080450327047, std values: 5.138223300597963, min values: 4.2018e-06, max values: 40.036, median values: 0.28542, and quantile values: 0.25 0.085101\n0.50 0.285420\n0.75 1.094700\nName: 8881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2763095406683647, std values: 4.7957873401658295, min values: 2.0832e-07, max values: 40.249, median values: 0.16459, and quantile values: 0.25 0.042313\n0.50 0.164590\n0.75 0.669205\nName: 8882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3738236386551574, std values: 4.747606035502261, min values: 6.7587e-07, max values: 37.829, median values: 0.20168, and quantile values: 0.25 0.054895\n0.50 0.201680\n0.75 0.805530\nName: 8883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3725982498218239, std values: 4.811114147292925, min values: 4.1927e-07, max values: 39.614, median values: 0.19781, and quantile values: 0.25 0.053007\n0.50 0.197810\n0.75 0.825890\nName: 8884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9580903658578617, std values: 5.346910892891457, min values: 6.1014e-06, max values: 40.018, median values: 0.37204, and quantile values: 0.25 0.11272\n0.50 0.37204\n0.75 1.31770\nName: 8885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377485205565407, std values: 5.012417278179122, min values: 5.9799e-07, max values: 41.972, median values: 0.25018, and quantile values: 0.25 0.063601\n0.50 0.250180\n0.75 0.941240\nName: 8886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4113727218262264, std values: 4.750215935185723, min values: 4.9507e-07, max values: 37.894, median 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values: 0.20725, and quantile values: 0.25 0.060432\n0.50 0.207250\n0.75 0.878355\nName: 8937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571795322930818, std values: 4.758049670147366, min values: 1.2384e-06, max values: 39.363, median values: 0.20777, and quantile values: 0.25 0.056139\n0.50 0.207770\n0.75 0.917705\nName: 8938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6190971780332704, std values: 4.931595489320927, min values: 8.9669e-07, max values: 38.782, median values: 0.28026, and quantile values: 0.25 0.073144\n0.50 0.280260\n0.75 1.084400\nName: 8939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349878648123272, std values: 4.771013569812751, min values: 7.5206e-07, max values: 38.229, median values: 0.17663, and quantile values: 0.25 0.053655\n0.50 0.176630\n0.75 0.696870\nName: 8940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.338508600012327, std values: 4.699759711670781, min values: 4.1346e-07, max values: 37.292, median values: 0.19733, and quantile values: 0.25 0.061925\n0.50 0.197330\n0.75 0.730460\nName: 8941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627664989006289, std values: 5.165752054298406, min values: 3.4526e-06, max values: 41.812, median values: 0.24922, and quantile values: 0.25 0.07444\n0.50 0.24922\n0.75 1.01515\nName: 8942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969071583711886, std values: 4.86379076813282, min values: 4.6419e-08, max values: 39.403, median values: 0.24192, and quantile values: 0.25 0.062041\n0.50 0.241920\n0.75 0.945165\nName: 8943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6896331965855347, std values: 5.192264271784166, min values: 3.8063e-06, max values: 41.41, median values: 0.27169, and quantile values: 0.25 0.07804\n0.50 0.27169\n0.75 1.09425\nName: 8944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661493022655975, std values: 5.058083597213408, min values: 2.5698e-06, max values: 40.037, median values: 0.29707, and quantile values: 0.25 0.069276\n0.50 0.297070\n0.75 1.127550\nName: 8945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2780249880955974, std values: 4.658770040084182, min values: 1.1321e-06, max values: 38.46, median values: 0.14694, and quantile values: 0.25 0.047317\n0.50 0.146940\n0.75 0.701675\nName: 8946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657021129298113, std values: 4.995041702918764, min values: 0.0, max values: 39.569, median values: 0.29584, and quantile values: 0.25 0.073809\n0.50 0.295840\n0.75 1.125800\nName: 8947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.711455806461635, std values: 4.988083530110645, min values: 2.0812e-06, max values: 38.523, median values: 0.29158, and quantile values: 0.25 0.080896\n0.50 0.291580\n0.75 1.228850\nName: 8948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5121976525194338, std values: 4.990470954079461, min values: 6.9479e-07, max values: 41.438, median values: 0.2435, and quantile values: 0.25 0.065435\n0.50 0.243500\n0.75 0.942455\nName: 8949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041516933355344, std values: 4.692064927330516, min values: 1.8519e-07, max values: 37.859, median values: 0.15009, and quantile values: 0.25 0.041323\n0.50 0.150090\n0.75 0.655450\nName: 8950, dtype: float64, 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