Table 2.

Accuracy and C-statistics for short-term window models in predicting in-hospital death or recurrent ischemic events in 2242 individuals with premature ACS (55 years old or younger), total number of events = 180 (in-hospital CV deaths = 39, and MI = 141).

	Accuracy (95% confidence interval)	C-statistics (95% confidence interval)
Logistic regression with GRACE score risk factors
Validation set (mean of 5-folds)	0.841 (0.819–0.866)	0.834 (0.819–0.866)
Test set (n =  673,75 events)	0.820 (0.784–0.856)	0.819 (0.782–0.853)
Logistic regression (top 20 predictors)
Validation set (mean of 5-folds)	0.889 (0.867–0.904)	0.883 (0.867–0.904)
Test set (n =  673,75 events)	0.880 (0.854–0.896)	0.872 (0.851–0.894)
Random Forests (top 20 predictors)
Validation set (mean of 5-folds)	0.901 (0.870–0.928)	0.908 (0.879–0.933)
Test set (n =  673,75 events)	0.892 (0.852–0.930)	0.888 (0.846–0.927)
XGBoost (top 20 predictors)
Validation set (mean of 5-folds)	0.894 (0.870–0.929)	0.898 (0.872–0.931)
Test set (n =  673,75 events)	0.876 (0.859–0.903)	0.861 (0.835–0.891)
TabNet (top 20 predictors)
Validation set (mean of 5-folds)	0.951 (0.924–0.979)	0.936 (0.904–0.955)
Test set (n =  673,75 events)	0.946 (0.917–0.975)	0.921 (0.889–0.953)