Fig. 2.

Receiver operator characteristic (ROC) curves for the ML models and the traditional severity of illness scores to predict in-hospital mortality (validation cohort). A ROC curves for the seven ML models to predict in-hospital mortality; B ROC curves for the traditional severity of illness scores to predict in-hospital mortality. XGB eXtreme Gradient Boosting, RF Random Forest, SVM Support Vector Machine (radial bias function), LR Logistic Regression, NB Naive Bayes, KNN k-Nearest Neighbors, DT Decision Tree, OASIS Oxford Acute Severity of Illness Score, SAPS-II Simplified Acute Physiology Score II, AUC area under the curve