[Retracted] A Predictive Model for the Risk of Cognitive Impairment in Patients with Gallstones

Figure 4

Model predictive power validation and assessment. (a) The ROC curve shows that the logistic regression model constructed from the variables screened by lasso regression has optimal predictive power. The AUCs were 0.787, 0.778, and 0.785 in the training, test, and whole cohorts, respectively; (b) calibration curve displays the predictive ability of the model for cognitive impairment prevalence in patients with gallstones. The dashed line represents the predictive ability of the model to show a 100% match under optimal expectations. The solid line represents the predictive ability that the trained model would exhibit in a real situation. The closer the solid and dashed lines are to each other, the better the predictive ability of the chosen model ().

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