TABLE 1.

Results analysis.

Feature selection technique	Evaluation metrics	SVM	LDA	NB	MLP	IDBN
PCA	Sensitivity	86.61	81.28	83.50	89.35	94.68
	Specificity	82.57	83.07	88.96	87.48	92.38
	Accuracy	87.62	85.94	83.08	91.87	94.96
	FMeasure	88.42	83.26	88.78	90.05	91.20
CBFS	Sensitivity	78.65	76.27	75.58	80.26	85.46
	Specificity	77.57	78.31	76.27	79.56	83.87
	Accuracy	79.04	77.65	76.89	82.07	85.96
	FMeasure	76.32	76.07	75.63	80.10	82.08
mRmR	Sensitivity	83.61	82.51	80.51	85.40	89.36
	Specificity	83.45	80.87	81.02	85.07	87.12
	Accuracy	85.21	84.78	83.45	87.80	91.58
	FMeasure	84.93	81.02	81.07	86.18	90.55
mRmR-WPSO-AE	Sensitivity	92.43	88.71	85.64	91.51	94.54
	Specificity	91.07	89.36	86.97	92.87	96.17
	Accuracy	92.91	89.74	88.75	94.56	96.78
	FMeasure	90.64	87.98	85.50	92.06	95.09