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Table 3 Classification comparison of different gene ranking algorithms using Leukemia dataset

From: A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data

Dataset

Classifier

Algorithm

  

Gain Ratio

GA/KNN

GE

MF-GE

Leukemia

C4.5

87.41

78.55 ± 2.96

83.04 ± 1.56

84.51 ± 2.53

 

Random Forests

92.59

91.75 ± 0.99

90.82 ± 1.87

92.35 ± 0.70

 

3-Nearest Neighbor

91.16

93.74 ± 1.27

94.30 ± 1.73

95.48 ± 0.95

 

7-Nearest Neighbor

83.10

89.43 ± 1.10

90.45 ± 2.04

90.86 ± 1.26

 

Naive Bayes

92.78

90.28 ± 1.33

96.20 ± 0.93

96.27 ± 1.65

 

Mean

89.41

88.75

90.69

91.89

 

Majority Voting

92.45

93.29 ± 1.29

95.33 ± 0.96

96.23 ± 1.26