Table 10. Evaluation results for prediction of MACE on NSTEMI dataset (%).

Classifier	Accuracy	Precision	Recall	F-measure	AUC
RF	88.81	89.66	89.45	88.63	98.81
ET	88.05	91.97	91.46	91.64	99.00
GBM	91.23	88.94	89.45	89.18	99.41
SVE	91.38	93.89	93.97	93.79	99.42

*Note: RF denotes Random Forest; ET Extra Tree; GBM Gradient Boosting Machine; SVE Soft Voting Ensemble. The boldface values denotes the highest evaluation results among all classifiers.