Fig. 2

ROC and calibration curves. The ROC curve measures discrimination by plotting the false positive and true positive rates at different threshold values. The calibration curve shows how well the predicted probabilities match the true probabilities: the mean of predicted probabilities is calculated at different quantiles of true probabilities with the diagonal line indicating a perfect fit