Metabolomic Biomarker Identification in Presence of Outliers and Missing Values

Table 2

Performance measurement of different methods using average AUC values and MER (in parentheses) for different percentage of missing values in absence and presence of outliers.

Different conditions	Proposed
10% missing values and absence of outlier	99.14 (0.86)	95.72 (4.28)	97.82 (2.18)	98.58 (1.42)
10% missing values and 5% outliers	96.86 (3.14)	71.19 (28.81)	85.53 (14.47)	86.25 (13.75)
10% missing values and 10% outliers	94.25 (5.75)	65.69 (34.31)	79.08 (20.92)	80.10 (19.9)
10% missing values and 15% outliers	91.75 (8.25)	57.69 (42.31)	73.14 (26.86)	74.33 (25.67)
15% missing values and absence of outlier	98.93 (1.07)	95.07 (4.93)	97.72 (2.28)	97.98 (2.02)
15% missing values and 5% outliers	95.46 (4.54)	63.29 (36.71)	84.10 (15.9)	85.14 (14.86)
15% missing values and 10% outliers	92.67 (7.33)	59.24 (40.76)	78.07 (21.93)	79.89 (20.11)
15% missing values and 15% outliers	87.49 (12.51)	56.16 (43.84)	70.13 (29.87)	72.46 (27.54)
20% missing values and absence of outlier	98.84 (1.16)	94.44 (5.56)	97.44 (2.56)	97.47 (2.53)
20% missing values and 5% outliers	94.89 (5.11)	54.27 (45.73)	82.46 (17.54)	84.81 (15.19)
20% missing values and 10% outliers	90.44 (9.56)	53.71 (46.29)	77.07 (22.93)	79.48 (20.52)
20% missing values and 15% outliers	83.47 (16.53)	54.11 (45.89)	67.69 (32.31)	70.70 (29.30)