Table 11.

Model performance metrics using 5-fold cross-validation.

Model	Accuracy	F1 Score	prAUC	Precision	Recall
Random forest	0.9385	0.9586	0.9353	0.9380	0.9804
SVM	0.9889	0.9923	0.9782	0.9934	0.9913
GBM	0.9984	0.9989	0.9800	1	0.9978
XGBoost	0.9968	0.9978	0.9700	0.9978	0.9870
C5.0	0.9763	0.9838	0.6667	0.9800	0.9870
NNET	1	1	0.9216	1	1
k-NN	0.8896	0.9259	0.6847	0.9100	0.9436
Logistic regression	0.9921	0.9946	0.9791	0.9914	0.9978