Table 1.

The proposed method’s performance with the existing approaches.

Metrics	Proposed EHGA-DLNN	DLNN	ANN	KNN	SVM
Accuracy	98.35	95.33	93.35	92.33	91.23
Sensitivity	97.33	95.56	92.32	90.45	89.33
Specificity	96.36	94.57	89.99	88.13	86.33
Precision	95.32	93.46	92.37	90.23	89.69
Recall	96.69	94.59	93.75	92.35	91.87
F-measure	96.37	94.57	93.35	92.97	91.12