Fig. 4

Evaluation of three models. Analyses of the ROC curves of the three non-alcoholic fatty liver disease prediction models for the training (a) and validation datasets (b) are shown. The x and y axes represent specificity and sensitivity, respectively. c Calibration plots of the risk prediction models from the training dataset. The diagonal dashed line denotes the perfect prediction of an ideal model, whereas the solid line denotes the model’s performance. (d) Decision curve analysis for the risk prediction models. The black solid line denotes the net benefit when all participants were negative and were not treated, whereas the grey solid line denotes the net benefit when all participants were positive and received treatment. The further the decision curve is from the black and grey solid lines, the more useful the risk prediction model is in clinical practice. ROC, receiver operating characteristic