The Area Under the Receiver Operating Characteristic Curve (AUC ROC) is a performance metric used to evaluate the accuracy of a binary classification model. It is a single scalar value that measures the overall ability of the model to discriminate between positive and negative classes. In epidemiology, it is often used to assess diagnostic tests, predictive models, and risk stratification tools.
