What Does AUC Stand For?

AUC stands for Area Under The Curve

AUC, or Area Under The Curve, is a statistical measure used to evaluate the performance of a predictive model, particularly in classification tasks. It quantifies the trade-off between sensitivity (true positive rate) and specificity (false positive rate) across different threshold settings. An AUC value ranges from 0 to 1, where a value of 0.5 indicates no predictive ability and a value of 1 signifies perfect discrimination between classes. AUC is commonly used in fields such as machine learning and medical diagnostics to assess the overall effectiveness of a model.