Table A2.

Performance metrics for fold 2.

Model	Accuracy	F1 Score	prAUC	Precision	Recall
Random forest	0.9523	0.9684	0.9271	1	0.9387
SVM	1	1	0.9599	1	1
GBM	0.9841	0.9890	0.9557	0.9782	1
XGBoost	0.9682	0.9787	0.9340	1	0.9583
C5.0	0.9687	0.9782	0.5509	0.9782	0.9782
NNET	1	1	0.9597	1	1
k-NN	0.8095	0.8750	0.5080	0.9130	0.8400
Logistic regression	0.9841	0.9892	0.9578	1	0.9787