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Table 4 Average Success Index calculated using a 10-fold cross-validation

From: RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers

Dataset

RGIFE-Min

RGIFE-Max

RGIFE-Union

CFS

ReliefF

SVM-RFE

Chi-Square

L1

CorrAL

59.93

77.11

87.07

84.57

72.04

64.53

82.06

84.11

XOR-100

89.99

79.88

89.88

24.72

49.86

14.84

9.84

79.30

Parity3+3

44.44

44.44

76.67

-5.93

76.67

-15.93

-8.52

5.56

Monk3

84.17

84.17

84.17

62.50

84.17

N/A

59.17

73.33

Madelon

59.98

77.98

87.97

17.99

89.97

23.97

39.97

99.01

Average

67.70

72.72

85.15

36.77

74.54

21.85

36.50

68.26

  1. The last row reports the average values across the five datasets. The highest indexes are shown in bold. N/A is used for SVM-RFE when analysing the Monk3 dataset as the method cannot deal with categorical attributes