ROC and AUC
Receiver Operating Characteristic Curve, Area Under Curve
ROC Curve Is the plot of Sensitivity/TPR (Y axis) vs (1-Specificity)/FPR (X axis). It is a graphical plot that illustrates the diagnostic ability of a binary classifier, as its discrimination threshold is varied.
AUC is a metric for how well a model fit the data (1 being absolutely perfect fit).
Last modified 2yr ago