Table 8.

ROC area and MCC indicators of the various classified methods tested on DDSM database and MIAS database

	Our method	SVM	GA-SVM	PSO-SVM	Decision tree
AUC	0.9467	0.8522	0.8794	0.8912	0.9362
MCC	0.8652	0.7750	0.7084	0.6850	0.6186

Bold font number indicates the best performance in each line

AUC area under the curve, MCC Matthew’s correlation coefficient