Table 9.

Model performance metrics using 2-fold cross-validation.

Model	Accuracy	F1 Score	prAUC	Precision	Recall
Random forest	0.9463	0.9642	0.9665	0.9408	0.9891
SVM	0.9605	0.9729	0.9832	0.9739	0.9718
GBM	0.9889	0.9924	0.9900	0.9913	0.9935
XGBoost	0.9968	0.9978	0.9871	1	0.9956
C5.0	0.9621	0.9741	0.7893	0.9679	0.9805
NNET	0.8691	0.9109	0.4091	0.9023	0.9199
k-NN	0.8691	0.9109	0.4091	0.9023	0.9199
Logistic regression	0.9684	0.9785	0.9882	0.9702	0.9870