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0.29532\n0.75 1.00421\nName: 1061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929492394638994, std values: 4.743669017310505, min values: 2.819e-08, max values: 38.494, median values: 0.19645, and quantile values: 0.25 0.048025\n0.50 0.196450\n0.75 0.789800\nName: 1062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4841696571633336, std values: 4.867188774930663, min values: 4.0927e-07, max values: 38.888, median values: 0.21413, and quantile values: 0.25 0.062493\n0.50 0.214130\n0.75 0.882525\nName: 1063, 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: 1064, dtype: float64, respectively.", "A sample with 159 features 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median values: 0.20455, and quantile values: 0.25 0.063866\n0.50 0.204550\n0.75 0.853410\nName: 1335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5202370093178492, std values: 4.864417288260775, min values: 1.9798e-08, max values: 38.989, median values: 0.20301, and quantile values: 0.25 0.054449\n0.50 0.203010\n0.75 0.910240\nName: 1336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3229101468050315, std values: 4.611118031570311, min values: 1.671e-06, max values: 38.638, median values: 0.19685, and quantile values: 0.25 0.059386\n0.50 0.196850\n0.75 0.791925\nName: 1337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688635951544025, std values: 5.242448292733245, min values: 1.2425e-06, max values: 43.879, median values: 0.29039, and quantile values: 0.25 0.07260\n0.50 0.29039\n0.75 1.13165\nName: 1338, dtype: 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0.25 0.056096\n0.50 0.197220\n0.75 0.798820\nName: 1532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475018271361005, std values: 4.88231876325212, min values: 3.5804e-07, max values: 39.09, median values: 0.24629, and quantile values: 0.25 0.066640\n0.50 0.246290\n0.75 0.974835\nName: 1533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5958249332886791, std values: 4.875512846254629, min values: 1.1255e-06, max values: 38.362, median values: 0.27126, and quantile values: 0.25 0.077785\n0.50 0.271260\n0.75 1.044650\nName: 1534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377989651209937, std values: 4.947926468565311, min values: 1.5011e-07, max values: 41.877, median values: 0.15723, and quantile values: 0.25 0.047897\n0.50 0.157230\n0.75 0.716990\nName: 1535, dtype: float64, respectively.", "A sample with 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0.986060\nName: 1602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502828793126415, std values: 4.8568536959973505, min values: 2.378e-06, max values: 38.942, median values: 0.22557, and quantile values: 0.25 0.067444\n0.50 0.225570\n0.75 0.950350\nName: 1603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4641420941616352, std values: 5.091443666763062, min values: 1.8621e-06, max values: 41.969, median values: 0.20331, and quantile values: 0.25 0.052704\n0.50 0.203310\n0.75 0.841620\nName: 1604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6296307419061637, std values: 5.0556312236671594, min values: 3.4918e-07, max values: 41.763, median values: 0.26005, and quantile values: 0.25 0.071125\n0.50 0.260050\n0.75 1.086600\nName: 1605, dtype: float64, respectively.", "A sample with 159 features representing metab 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