Table 4.

Comparison of the evaluation metrics for various classifiers

Method	Sensitivity	Specificity	Accuracy
LS-SVM	0.932	0.9667	0.9340
GC-NET	0.9878	0.9602	0.9751
MFV-DBN	0.883	0.9512	0.9595
HG-SVNN	0.9333	0.8667	0.9
FGSA-HDNN	0.9964	0.9784	0.9875