Table 9. Evaluation results for prediction of MACE on STEMI dataset (%).

Classifier	Accuracy	Precision	Recall	F-measure	AUC
RF	84.81	87.54	85.80	85.42	98.15
ET	85.00	87.40	87.04	86.86	99.02
GBM	83.70	88.75	89.51	88.57	99.33
SVE	89.07	92.64	91.36	90.74	99.49

*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.