Table 4.

Performance metrics for each model based on 10-fold cross-validation.

Model	Accuracy	F1 Score	prAUC	Precision	Recall
Random forest	0.9463	0.9642	0.9317	0.9409	0.9891
SVM	0.9874	0.9913	0.9545	0.9892	0.9934
GBM	0.9984	0.9989	0.9601	1	0.9978
XGBoost	0.9984	0.9989	0.9103	1	0.9978
C5.0	0.9701	0.9796	0.5358	0.9705	0.9892
NNET	1	1	0.9601	1	1
k-NN	0.8883	0.9231	0.5984	0.9156	0.9331
Logistic regression	0.9858	0.9903	0.9576	0.9873	0.9935