Table 3 Performance of gene feature selection methods with KNN classifier (high) and SVM classifier (low) in multiclass datasets

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

1.0000

1.0000

1.0000

1.0000

0.8617

0.9756

1.0000

1.0000

Gene content

25

70

26

49

22

16

29

35

TPR

1.0000

1.0000

1.0000

1.0000

0.8617

0.9756

1.0000

1.0000

TIME(s)

0.3412

0.8944

2.3579

1.2561

7.4577

3.3144

1.5922

0.7541

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

0.9554

0.9443

0.9499

0.9641

0.9273

0.9472

0.9291

0.9514

Gene content

32

82

97

65

39

88

50

40

TPR

0.9243

0.9033

0.9185

0.9012

0.9210

0.9123

0.9042

0.9155

TIME(s)

0.1215

0.2250

0.1954

0.1857

1.6478

0.5111

0.2931

0.3171

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

1.0000

0.994

1.0000

1.0000

0.9283

0.9963

1.0000

1.0000

Gene content

35

34

34

16

28

17

27

40

TPR

1.0000

0.994

1.0000

1.0000

0.9283

0.9963

1.0000

1.0000

TIME(s)

0.3412

0.8944

2.3579

1.2561

7.4577

3.3144

1.5922

0.7541

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

0.9151

0.9041

0.9115

0.9229

0.9102

0.9087

0.9199

0.9100

Gene content

64

87

75

89

71

60

77

74

TPR

0.9172

0.9005

0.9124

0.9285

0.9089

0.9114

0.9207

0.9122

TIME(s)

0.5736

1.8912

3.4551

2.4972

6.9322

4.1978

2.1207

1.0044