Table 3.

Discrimination, calibration, and AUPRC of logistic regression and advanced ML models

Model	AUROC	Brier score	AUPRC
XGBoost	0.687 ± 0.01	0.094 ± 0.01	0.284 ± 0.014
Logistic Regression	0.675 ± 0.01	0.095 ± 0.01	0.265 ± 0.011
Gradient Boosting	0.686 ± 0.009	0.094 ± 0.009	0.283 ± 0.009
AdaBoost	0.686 ± 0.011	0.248 ± 0.011	0.278 ± 0.015
Random Forest	0.629 ± 0.006	0.112 ± 0.006	0.197 ± 0.007