Fig. 1From: Calibration: the Achilles heel of predictive analyticsIllustrations of different types of miscalibration. Illustrations are based on an outcome with a 25% event rate and a model with an area under the ROC curve (AUC or c-statistic) of 0.71. Calibration intercept and slope are indicated for each illustrative curve. a General over- or underestimation of predicted risks. b Predicted risks that are too extreme or not extreme enoughBack to article page