Table 3.

Performance metrics of the machine learning models

Models	Accuracy	Sensitivity	Specificity	PPV	NPV	AUC
CART	0.7870	0.8181	0.7845	0.2322	0.9819	0.8839
LightGBM	0.7799	0.8237	0.7764	0.2269	0.9822	0.8808
RF	0.7663	0.8217	0.7619	0.2156	0.9817	0.8730
XGBoost	0.8314	0.8180	0.8324	0.2800	0.9829	0.9122
MLP	0.8008	0.7803	0.8025	0.2394	0.9787	0.8754
TabNet	0.8068	0.7728	0.8095	0.2443	0.9781	0.8759
LR	0.9260	0.07522	0.9938	0.4918	0.93097	0.8161

PPV positive predictive value, NPV negative predictive value, AUC area under the receiver operating characteristic curve