Table 1.

Comparison of SVM-BRC with the some classifiers for the 386-patient breast cancer cohort.

Method	10-CV accuracy (%)	Sensitivity	Specificity	MCC
SVM-BRC-Mean	80.38 ± 1.55	0.79 ± 2.7	0.81 ± 2.26	0.60 ± 0.03
SVM-BRC-Best	83.16	0.84	0.81	0.66
Random forest	66.83	0.66	0.67	0.33
Multilayer perceptron	57.25	0.57	0.57	0.14
SMO	62.69	0.62	0.63	0.25
Naïve Bayes	64.50	0.63	0.65	0.29
Decision tree	50.25	0.50	0.50	0.01