What is the relation between precision-recall and Roc curve (True-Positive-Rate/False Positive Rate)?

Data Science Interview Questions › Category: Data Science › What is the relation between precision-recall and Roc curve (True-Positive-Rate/False Positive Rate)?
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MockInterview Staff asked 4 years ago
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MockInterview Staff answered 4 years ago

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)
 
 

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MockInterview Staff answered 4 years ago

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

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MockInterview Staff answered 4 years ago

Visual to remember the formula: 
Precision Recall

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