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0.200240\n0.75 0.966360\nName: 1068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403457425024717, std values: 4.820482521803358, min values: 8.3023e-07, max values: 38.673, median values: 0.21484, and quantile values: 0.25 0.059876\n0.50 0.214840\n0.75 0.846360\nName: 1069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037603705144653, std values: 4.901726396674807, min values: 1.881e-06, max values: 39.274, median values: 0.24913, and quantile values: 0.25 0.069370\n0.50 0.249130\n0.75 0.931595\nName: 1070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790113615031447, std values: 4.85906699096189, min values: 1.0588e-06, max values: 39.375, median values: 0.22899, and quantile values: 0.25 0.056872\n0.50 0.228990\n0.75 0.785120\nName: 1071, dtype: float64, respectively.", "A sample with 159 features 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39.82, median values: 0.23122, and quantile values: 0.25 0.068195\n0.50 0.231220\n0.75 0.899440\nName: 1719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6923500703798742, std values: 5.180933890131012, min values: 1.8246e-06, max values: 42.207, median values: 0.29049, and quantile values: 0.25 0.076355\n0.50 0.290490\n0.75 1.153500\nName: 1720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5414811703989937, std values: 5.018353338045723, min values: 7.2394e-07, max values: 41.792, median values: 0.22679, and quantile values: 0.25 0.061573\n0.50 0.226790\n0.75 0.994625\nName: 1721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.655144792745912, std values: 5.095782980527983, min values: 3.5236e-06, max values: 40.386, median values: 0.26765, and quantile values: 0.25 0.072957\n0.50 0.267650\n0.75 0.990060\nName: 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median values: 0.29094, and quantile values: 0.25 0.081458\n0.50 0.290940\n0.75 1.103900\nName: 1729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347485621362893, std values: 4.753057097266849, min values: 2.2936e-06, max values: 39.66, median values: 0.1947, and quantile values: 0.25 0.060304\n0.50 0.194700\n0.75 0.813470\nName: 1730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6464833845974842, std values: 5.0349177206945726, min values: 4.3273e-06, max values: 39.474, median values: 0.2656, and quantile values: 0.25 0.083569\n0.50 0.265600\n0.75 1.077550\nName: 1731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5805506182474842, std values: 4.954776717794241, min values: 8.7255e-07, max values: 39.717, median values: 0.26157, and quantile values: 0.25 0.066972\n0.50 0.261570\n0.75 1.025905\nName: 1732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141455137985788, std values: 4.937370283619964, min values: 2.4471e-08, max values: 42.748, median values: 0.19109, and quantile values: 0.25 0.043979\n0.50 0.191090\n0.75 0.776850\nName: 1733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6414923143679248, std values: 5.175470144381315, min values: 1.1204e-06, max values: 43.76, median values: 0.27244, and quantile values: 0.25 0.071112\n0.50 0.272440\n0.75 1.034345\nName: 1734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.698839129627673, std values: 5.02382200371977, min values: 2.832e-06, max values: 39.443, median values: 0.26926, and quantile values: 0.25 0.081588\n0.50 0.269260\n0.75 1.140600\nName: 1735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 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