What is ROC curve?

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Posted On: Apr 02, 2020

 

ROC curve is a graphical plot to illustrate the ability of a classifier system. Basically, this curve tells you how much a binary classifier system is capable of distinguishing between classes. This curve is plotted with TPR (True Positive Rate) on the y-axis and FPR (False Positive Rate) on the x-axis. TPR is also known as sensitivity recall or probability of detection and FPR is also known as the probability of false alarm.

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