Table 4

Experimental results of various indicators for model performance evaluation

Model	NSTEMI				UA
Model	Accuracy	Precision	Recall	F-1 score	Accuracy	Precision	Recall	F-1 score
SVM	0.91±0.015*	0.90±0.002†	0.92±0.012†	0.94±0.015*	0.90±0.003*	0.89±0.002*	0.73±0.011‡	0.88 ±0.013*
XGB	0.95±0.014*	0.94±0.011*	0.98±0.003*	0.96±0.007*	0.93±0.017*	0.96±0.008*	0.82±0.014*	0.89±0.016*
RF	0.88±0.009*	0.87±0.012‡	0.95±0.003*	0.93±0.003*	0.81±0.007*	0.94±0.005*	0.58±0.015*	0.72±0.008‡
NB	0.61±0.009*	0.80±0.003‡	0.63±0.002*	0.71±0.003‡	0.71±0.008*	0.67±0.006‡	0.54±0.013*	0.42±0.006*
GBM	0.91±0.013*§	0.90±0.002†§	0.89±0.013†§	0.84±0.014†§	0.90±0.011*§	0.88±0.006*§	0.68±0.015*§	0.79±0.018†§
LR	0.74±0.016	0.81±0.015	0.85±0.012	0.75±0.009	0.62±0.014	0.63±0.017	0.73±0.012	0.69±0.013

*Compared with the LR model, p<0.01.
†Compared with the LR model, p<0.05.
‡Compared with the LR model, p>0.05.
§Compared with the XGB model, p<0.05.
GBM, gradient boosting machines; LR, logistic regression; NB, naïve Bayesian; NSTEMI, non-ST-elevation myocardial infarction; RF, random forest; SVM, support vector machine; UA, unstable angina pectoris; XGBoost, extreme gradient boosting.