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Posted On: May 13, 2024

**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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