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Table 2 Test set performance measures for all classifiers

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

Classifier

Misclassification error

Accuracy

AUC

Sensitivity/recall

Specificity

Precision

F1 score

RF

0.290

0.710

0.761

0.645

0.771

0.727

0.683

NN

0.287

0.713

0.763

0.638

0.784

0.736

0.683

SVM

0.296

0.704

0.747

0.594

0.808

0.745

0.661

GBM

0.294

0.706

0.750

0.649

0.760

0.719

0.682