Fig. 2
From: Emergency department triage prediction of clinical outcomes using machine learning models
Prediction ability of the reference model and machine learning models for hospitalization in the test set. a Receiver-operating-characteristics (ROC) curves. The corresponding values of the area under the receiver-operating-characteristics curve (AUC) for each model are presented in Table 2. b Decision curve analysis. X-axis indicates the threshold probability for hospitalization outcome and Y-axis indicates the net benefit. Compared to the reference model, the net benefit for all machine learning models was larger over the range of clinical threshold