3 Answers

Best Answer

Part 1: Roc curve has:

True Positive Rate = True Positive / (True Positive + False Negative) <- This is also called “recall/sensitivity”

False Positive Rate = False Positive / (False Positive + True Negative)

Part 2:

Precision = True Positive / (True Positive + False Positive)

Recall = True Positive / (True Positive + False Negative)

Tip: Precision vs Recall: https://towardsdatascience.com/precision-vs-recall-386cf9f89488

Your Answer