ROC Curve

A ROC curve is a diagnostic ability of a binary classifier system as its discrimination threshold is varied.

The method was originally developed for operators of military radar receivers starting in 1941, which led to its name.

AUC = area under ROC Curve, Kai Ma introduced me to this idea

True Positive Rate (TPR) formula (this is just recall) $\text{True Positive Rate (TPR)}=\frac{\text{T}P}{\text{TP + FN}}$

False Positive Rate (FPR) formula $\text{False Positive Rate (FPR)}=\frac{\text{FP}}{\text{FP + TN}}$

Related

• Precision-Recall Curve