Table 2

The comparisons in ReliefF, mRMR and mRMR-ReliefF algorithms (gene number = 30)

Feature Selection Method

Classifier

ALL

ARR

LYM

HBC

NCI60

MLL

GCM


ReliefF

SVM

96.37%

79.29%

100%

95.45%

58.33%

94.44%

55.25%

Naive Bayes

92.34%

75%

95.16%

90.91%

53.33%

91.67%

55.56%

mRMR

SVM

-

75.35%

100%

95.45%

53.33%

-

-

Naive Bayes

-

73.21%

97.33%

87.51%

51.20%

-

-

mRMR-ReliefF

SVM

96.77%

81.43%

100%

95.45%

68.33%

98.61%

64.65%

Naive Bayes

95.97%

79.05%

100%

95.45%

61.67%

98.61%

61.11%


Zhang et al. BMC Genomics 2008 9(Suppl 2):S27   doi:10.1186/1471-2164-9-S2-S27

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