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Fig. 4 | BMC Neurology

Fig. 4

From: Construction of a risk prediction model for Alzheimer’s disease in the elderly population

Fig. 4

Calibration curve of risk prediction for AD in the elderly. a Training set; b Validation set. Emax: the maximum offset between the model and the ideal model; Eavg: the minimal offset between the model and the ideal model. p > 0.05 indicates passing the calibration test. The black solid line above the x-axis represents sample distribution. The dotted lines on the diagonal represent the perfect prediction of the ideal model, and the solid lines represent the performance of the training set and the validation set. The closer the solid line is to the dotted line, the better the predictive effect. The y-axis represents the actual diagnosed cases of AD, and the x-axis represents the predicted risk of AD

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