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0.238020\n0.75 0.915885\nName: 864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520260925090566, std values: 4.9962601837965455, min values: 1.3561e-06, max values: 39.85, median values: 0.20964, and quantile values: 0.25 0.059561\n0.50 0.209640\n0.75 0.976855\nName: 865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5602216056231446, std values: 4.850304240017256, min values: 8.3778e-07, max values: 38.201, median values: 0.26003, and quantile values: 0.25 0.067555\n0.50 0.260030\n0.75 1.048555\nName: 866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709985426489939, std values: 4.799087809763044, min values: 6.3979e-07, max values: 37.673, median values: 0.26877, and quantile values: 0.25 0.065396\n0.50 0.268770\n0.75 1.073750\nName: 867, dtype: float64, respectively.", "A sample with 159 features 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0.25 0.034751\n0.50 0.159560\n0.75 0.664915\nName: 931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2320462982610692, std values: 4.835967763271072, min values: 2.7234e-07, max values: 41.512, median values: 0.11387, and quantile values: 0.25 0.02664\n0.50 0.11387\n0.75 0.56019\nName: 932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38892718506, std values: 4.85610604646873, min values: 1.0394e-07, max values: 40.023, median values: 0.17855, and quantile values: 0.25 0.042895\n0.50 0.178550\n0.75 0.736270\nName: 933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.605021281891824, std values: 4.915828336291561, min values: 2.2955e-06, max values: 39.183, median values: 0.25502, and quantile values: 0.25 0.07921\n0.50 0.25502\n0.75 1.04165\nName: 934, dtype: float64, respectively.", "A sample with 159 features 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0.714835\nName: 998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027201691446541, std values: 4.906437327498236, min values: 3.5032e-06, max values: 40.786, median values: 0.25256, and quantile values: 0.25 0.071492\n0.50 0.252560\n0.75 0.893360\nName: 999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5220474110974844, std values: 5.088409443519787, min values: 2.2618e-06, max values: 42.616, median values: 0.25208, and quantile values: 0.25 0.066678\n0.50 0.252080\n0.75 0.919130\nName: 1000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444534817275472, std values: 4.6148087535023, min values: 1.1223e-06, max values: 37.796, median values: 0.23513, and quantile values: 0.25 0.069945\n0.50 0.235130\n0.75 0.906285\nName: 1001, dtype: float64, respectively.", "A sample with 159 features representing metab data 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0.052124\n0.50 0.219940\n0.75 0.986400\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715197039503146, std values: 4.842173631771626, min values: 2.1564e-06, max values: 39.735, median values: 0.23618, and quantile values: 0.25 0.075384\n0.50 0.236180\n0.75 0.999230\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5787264706025157, std values: 4.902756390978402, min values: 3.2047e-06, max values: 40.215, median values: 0.26256, and quantile values: 0.25 0.073652\n0.50 0.262560\n0.75 0.990830\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2687472344159245, std values: 4.494742243225469, min values: 2.2027e-08, max values: 35.812, median values: 0.16135, and quantile values: 0.25 0.032658\n0.50 0.161350\n0.75 0.630155\nName: 1268, dtype: float64, respectively.", "A sample with 159 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0.893170\nName: 1335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2933276679559746, std values: 4.772592970738119, min values: 3.2553e-06, max values: 39.761, median values: 0.15396, and quantile values: 0.25 0.054832\n0.50 0.153960\n0.75 0.525090\nName: 1336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430524062537044, std values: 4.892188569722429, min values: 6.7349e-07, max values: 40.691, median values: 0.21672, and quantile values: 0.25 0.062279\n0.50 0.216720\n0.75 0.873785\nName: 1337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7952169071503148, std values: 5.281994023256671, min values: 3.1741e-06, max values: 43.25, median values: 0.31472, and quantile values: 0.25 0.093376\n0.50 0.314720\n0.75 1.280500\nName: 1338, dtype: float64, respectively.", "A sample with 159 features representing metab data 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