AUC (Area Under The Curve) and ROC (Receiver Operating Characteristics)

In binary classification issues, the metrics AUC (Area Under the Curve) and ROC (Receiver Operating Characteristics) are frequently employed. AUC is a numerical metric that measures the performance of the classifier, whereas ROC is a graphical plot that shows the performance of a binary classifier.

ROC Curve:

The true positive rate (sensitivity) vs the false positive rate (specificity) for various threshold values of a binary classifier is plotted graphically using the ROC curve. It demonstrates...