Table 10.

Model performance metrics using 4-fold cross-validation.

Model	Accuracy	F1 Score	prAUC	Precision	Recall
Random forest	0.9431	0.9623	0.9483	0.9374	0.9891
SVM	0.9842	0.9891	0.9821	0.9912	0.9870
GBM	0.9950	0.9967	0.9838	0.9957	0.9978
XGBoost	0.9952	0.9967	0.9506	0.9957	0.9978
C5.0	0.9526	0.8678	0.7735	0.9556	0.9804
NNET	1	1	0.9245	1	1
k-NN	0.8927	0.9273	0.6730	0.9157	0.9393
Logistic regression	0.9889	0.9924	0.9828	0.9914	0.9935