Receiver Operating Curves (ROC) showing the discriminating performance of four risk models. The first risk model (Briganti) is the nomogram published online and recommended in the EAU guidelines. The second risk model is a calibrated logistic regression model (Calibrated). The third risk model (Briganti+) is a Random forest classifier that was trained using the same set of input variables as the Briganti risk model by means of a leave-on-patient-out training and testing scheme. The fourth risk model (Briganti++) is a similar Random forest classifier using additional input information from MRI (PI-RADS scores). The Area Under the Curve (AUC) was calculated for each risk model.