What is the difference between precision and recall in the context of classification metrics? - Study24x7
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Ashish Verma
01 May 2024 10:51 AM study24x7 study24x7

What is the difference between precision and recall in the context of classification metrics?

A

Precision focuses on true positive predictions, while recall focuses on false positive predictions

B

Precision measures the ability of a model to avoid false positives, while recall measures the ability to capture all positive instances 

C

Precision is the ratio of true positives to the total predicted positives, while recall is the ratio of true positives to the total actual positives

D

Precision and recall are synonymous terms and can be used interchangeably

Software Developer Artificial Intelligence Computer Science
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