Table 7. Performance measures for machine learning models on NSTEMI dataset (%).

Classifier	Class Labels	Precision	Recall	F-score	AUC
RF	No	88.608	97.222	92.715	97.550
	CD	91.892	100.00	95.775	99.857
	NCD	100.00	95.833	97.872	100.00
	MI	85.714	40.000	54.546	99.004
	rePCI	80.000	90.323	84.849	98.022
	CABG	94.444	73.913	82.927	98.530
ET	No	93.243	92.000	92.617	97.505
	CD	100.00	100.00	100.00	100.00
	NCD	100.00	96.429	98.182	100.00
	MI	63.636	77.778	70.000	95.117
	rePCI	93.103	87.097	90.000	98.906
	CABG	75.000	81.818	78.261	98.575
GBM	No	96.000	97.297	96.644	99.892
	CD	100.00	100.00	100.00	100.00
	NCD	100.00	100.00	100.00	100.00
	MI	33.333	28.571	30.769	91.043
	rePCI	72.222	74.286	73.239	95.767
	CABG	100.00	100.00	100.00	100.00
SVE	No	93.976	98.734	96.296	99.357
	CD	94.286	100.00	97.059	100.00
	NCD	100.00	100.00	100.00	100.00
	MI	90.909	71.429	80.000	98.070
	rePCI	90.909	85.714	88.235	98.589
	CABG	94.444	89.474	91.892	99.883

*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.