ROC
Receiver Operating Characteristic is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold v...
Think of It Like This
Like graphing exactly how many false alarms a smoke detector will trigger as you slowly increase its sensitivity to detect smaller and smaller fires.
The ROC curve plots the True Positive Rate against the False Positive Rate at various threshold settings. It provides a comprehensive view of a model's performance independent of the class distribution or a specific threshold choice. The overall quality of the classifier is typically summarized by calculating the Area Under the Curve (AUC).