Classification of breast cancer patients using somatic mutation profiles and machine learning approaches

BMC Systems Biology

Table 5 10-fold cross-validation performance results of five classifiers

Classifier	Accuracy	TPR	FPR	TNR	FNR	F measure
Random forest	70.86	0.58	0.19	0.81	0.42	0.59
Support vector machine	69.16	0.49	0.16	0.84	0.51	0.53
J48 (C4.5)	60.11	0.47	0.26	0.74	0.53	0.47
Naïve Bayes	57.24	0.45	0.29	0.71	0.55	0.44
k-Nearest Neighbors	49.17	0.25	0.16	0.84	0.75	0.31

ISSN: 1752-0509