Internal Validation of the Predictive Performance of Models Based on Three ED and ICU Scoring Systems to Predict Inhospital Mortality for Intensive Care Patients Referred from the Emergency Department

Figure 2

(a) The area under the precision-recall (PR) curve represents how a model balances the sensitivity and the positive predictive value. The -axis represents the precision (positive predictive value in medical terms), and the -axis represents recall (sensitivity). (b) The receiver operating characteristic (ROC) curves graphically represent sensitivity on the -axis, and 1-specificity on the -axis. The area under the curve (AUC) gauges the discriminatory ability of a model.

(a)

(b)