Table 3.

Comparative discussion

Database	DDSM			MIAS
	Testing accuracy	Sensitivity	Specificity	Testing accuracy	Sensitivity	Specificity
MLP classifier	0.8396	0.8268	0.822	0.8271	0.8314	0.8327
Deep learning	0.8451	0.8303	0.8417	0.8326	0.8369	0.8382
SVM	0.8563	0.8415	0.8526	0.8525	0.8568	0.8581
Ensemble-based classifier	0.8738	0.8797	0.8669	0.8813	0.8856	0.8869
Proposed EHBO-based DCNN	0.9051	0.8971	0.9029	0.9015	0.9058	0.9071