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Table 4 Compare the results of the proposed method

From: Improve data classification performance in diagnosing diabetes using the Binary Exchange Market Algorithm

References

Algorithm

Accuracy %

Sensitivity %

Specificity %

F-Measure %

[19]

HR-Kmeans

91.65

91.11

50

64.54

GA-PSO-Kmeans

89.64

86.65

75.33

80.59

GA-Kmeans

88.02

83.73

50

62.95

Without Feature selection

BEMA-SVM

79.221

100

0

88.406

BEMA-KNN

81.169

100

0

89.606

BEMA-NB

83.766

100

0

91.166

With Feature selection

BEMA-SVM

98.502

100

90.625

98.785

BEMA-KNN

92.857

96.8

75.862

95.652

BEMA-NB

93.506

93.023

96

96