What Does ROC Stand For?

ROC stands for Receiver Operating Characteristic Curve

The Receiver Operating Characteristic (ROC) Curve is a graphical representation used in statistical analysis and machine learning to evaluate the performance of a binary classification model. It illustrates the trade-off between the true positive rate (sensitivity) and the false positive rate (1-specificity) across various threshold settings. By plotting these rates, the ROC Curve helps to visualize how well the model discriminates between positive and negative classes. The area under the ROC Curve (AUC) serves as a single scalar value to summarize the overall performance, with a higher AUC indicating better model effectiveness.