In silico prediction of novel therapeutic targets using gene–disease association data

Table 1 Mean training set performance measures for all classifiers estimated by nested cross-validation

Classifier	Misclassification error	Accuracy	AUC	Sensitivity/recall	Specificity	Precision	F1 score
RF	0.302	0.698	0.761	0.596	0.802	0.753	0.665
NN	0.303	0.697	0.758	0.610	0.785	0.742	0.670
SVM	0.317	0.683	0.733	0.592	0.775	0.729	0.652
GBM	0.297	0.703	0.752	0.637	0.771	0.738	0.683

ISSN: 1479-5876