Table 6. Performance measures for machine learning models on STEMI dataset (%).

Classifier	Class Labels	Precision	Recall	F-score	AUC
RF	No	90.141	87.671	88.889	95.075
	CD	100.00	100.00	100.00	100.00
	NCD	100.00	83.333	90.909	100.00
	MI	100.00	46.667	63.636	97.279
	rePCI	73.171	90.909	81.081	97.686
	CABG	78.261	94.737	85.714	99.080
ET	No	91.667	92.958	92.308	97.586
	CD	100.00	83.333	90.909	99.981
	NCD	100.00	91.667	95.652	100.00
	MI	70.000	50.000	58.333	98.962
	rePCI	70.968	84.615	77.193	97.427
	CABG	86.957	95.238	90.909	99.899
GBM	No	98.551	97.143	97.842	99.891
	CD	100.00	100.00	100.00	100.00
	NCD	75.000	75.000	75.000	99.188
	MI	50.000	26.667	34.783	92.290
	rePCI	71.429	92.593	80.645	97.476
	CABG	100.00	100.00	100.00	100.00
SVE	No	95.775	95.775	95.775	99.025
	CD	100.00	93.333	96.552	100.00
	NCD	100.00	90.909	95.238	99.940
	MI	100.00	42.857	60.000	100.00
	rePCI	76.316	96.667	85.294	99.293
	CABG	91.304	100.00	95.455	100.00

*Note: RF denotes Random Forest; ET Extra Tree; GBM Gradient Boosting Machine; SVE Soft Voting Ensemble; MACE Major Adverse Cardiovascular Events; CD Cadiac Death; NCD Non Cardiac Death; MI Myocardial Infarction, rePCI re-Percutaneous Coronary Intervention; CABG Coronary Artery Bypass Grafting.