TABLE 3.

Performance of machine learning models.

Model	Accuracy	Sensitivity	Specificity	PPV	NPV	AUC-ROC	AUC-Lower	AUC-Upper
LR	0.8440	0.9878	0.4074	0.8351	0.9167	0.8159	0.7784	0.8635
RF	0.8073	0.9634	0.3333	0.8144	0.7500	0.7827	0.7253	0.8202
NB	0.8257	0.9634	0.4074	0.8316	0.7857	0.8205	0.7753	0.8756
SVM	0.8165	0.9878	0.2963	0.8100	0.8889	0.7839	0.6981	0.8397
XGboost	0.8780	0.9883	0.5190	0.8699	0.9318	0.8828	0.8572	0.9284