Identification and Analysis of Driver Missense Mutations Using Rotation Forest with Feature Selection

Table 2

The performance of two classifiers on the training dataset.

Method	Precision	Recall	F-measure	Accuracy	MCC	ROC area
DX-RF	0.939	0.8135	0.8717	0.88028	0.7674	0.9353
Variance	0.003	0.0022	0.0015	0.0014	0.003	0.0014
mRMR-RF	0.9277	0.8294	0.8758	0.8824	0.7691	0.9429
Variance	0.0026	0.0044	0.0022	0.0018	0.0034	0.0013