TABLE 2.

Model Performance for Survival to ICU Discharge and Hospital Discharge

Model	Area Under the Curve	Area Under the Precision-Recall Curve	Accuracy	Balanced Accuracy	Precision	Recall	F1 Score
ICU survival
Gradient boost	0.754	0.834	0.738	0.694	0.773	0.843	0.806
Random forest	0.791	0.878	0.733	0.649	0.729	0.934	0.819
Decision tree	0.660	0.760	0.658	0.622	0.732	0.744	0.738
Logistic regression	0.755	0.853	0.722	0.654	0.738	0.884	0.805
Linear SVM	0.658	0.851	0.727	0.658	0.740	0.893	0.809
Hospital survival
Gradient boost	0.768	0.825	0.701	0.660	0.733	0.821	0.774
Random forest	0.768	0.847	0.695	0.645	0.717	0.846	0.776
Decision tree	0.595	0.775	0.572	0.546	0.661	0.65	0.655
Logistic regression	0.777	0.859	0.722	0.680	0.744	0.846	0.792
Linear SVM	0.677	0.843	0.722	0.677	0.741	0.855	0.794

SVM = support vector machine.

Bolded rows indicate the best preforming machine learning model for each outcome.