Table 6.

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

	Our method	SVM	GA-SVM	PSO-SVM	Decision tree
AUC	0.9505	0.8015	0.8719	0.8871	0.9294
MCC	0.8668	0.5106	0.6566	0.6955	0.8540

Bold font number indicates the best performance in each line

SVM support vector machine, GA-SVM genetic algorithm support vector machine, PSO-SVM particle swarm optimization support vector machine, AUC area under the curve, MCC Matthew’s correlation coefficient