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Table 11 Summary of results for the Pulmon Dataset

From: Cooperative co-evolution for feature selection in Big Data with random feature grouping

Classifier

Accuracy (%)

Sensitivity (%)

Specificity (%)

No. of features

NB

65.52

100.00

100.00

432

NB + CCEAFS

74.14

100.00

100.00

91

NB + CCFSRFG-1

89.66

100.00

100.00

42

NB + CCFSRFG-2

70.69

100.00

100.00

208

SVM

93.10

100.00

100.00

432

SVM + CCEAFS

98.28

100.00

100.00

89

SVM + CCFSRFG-1

100.00

100.00

100.00

51

SVM + CCFSRFG-2

100.00

100.00

100.00

190

k-NN

86.21

100.00

100.00

432

k-NN + CCEAFS

87.93

100.00

100.00

105

k-NN + CCFSRFG-1

100.00

100.00

100.00

25

k-NN + CCFSRFG-2

89.66

100.00

100.00

188

J48

82.76

62.50

96.00

432

J48 + CCEAFS

93.10

100.00

98.00

61

J48 + CCFSRFG-1

96.55

100.00

96.55

29

J48 + CCFSRFG-2

94.83

100.00

98.00

193

RF

91.38

100.00

100.00

432

RF + CCEAFS

96.55

100.00

100.00

117

RF + CCFSRFG-1

96.55

100.00

100.00

183

RF + CCFSRFG-2

94.83

100.00

100.00

210

LR

86.21

100.00

100.00

432

LR + CCEAFS

98.28

100.00

100.00

143

LR + CCFSRFG-1

100.00

100.00

100.00

137

LR + CCFSRFG-2

96.55

100.00

100.00

219

  1. Italic signifies the improvements of the proposed approach over existing techniques