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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
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