Table 5.

Model performance comparative model on the training set.

Model	PRE	SEN	SPE	ACC	F1	ROC-AUC	PR-AUC
LR	0.7114	0.4864	0.8539	0.6975	0.5778	0.7341	0.7126
SVM	0.7298	0.7075	0.8061	0.7641	0.7185	0.8442	0.7018
XGBoost	0.7391	0.7517	0.8035	0.7815	0.7454	0.8751	0.8233
SAFWRE	0.8921	0.8435	0.9244	0.8900	0.8671	0.9727	0.9663