Table 3.

Discrimination and Calibration.

Model	AUROC	AUPRC	Brier score
XGBoost	0.689 ±  0.026	0.207 ±  0.0.44	0.051 + 0.002
Logistic Regression	0.662 ± 0.026	0.137 ± 0.024	0.055 ± 0
Gradient Boosting	0.687 ± 0.027	0.214 ± 0.049	0.051 ± 0.002
AdaBoost	0.677 ± 0.013	0.199 ± 0.049	0.245 ± 0.002
Random Forest	0.624 ± 0.022	0.121 ± 0.016	0.061 ± 0.001