The AUC value ranges from 0 to 1. An AUC of 0.5 suggests that the model has no discriminative ability, equivalent to random guessing. An AUC of 1.0 indicates perfect discrimination, meaning the model can perfectly distinguish between positive and negative cases. In epidemiological studies, a higher AUC indicates better performance of the diagnostic test or predictive model.
