What is ‘precision’ vs ‘recall’ in classification model evaluation?

Question

AI Fundamentals — Medium

What is ‘precision’ vs ‘recall’ in classification model evaluation?

Accepted Answer

Precision in classification models measures the proportion of positive predictions that are correct, while recall measures the proportion of actual positives correctly identified. This means precision focuses on the accuracy of positive predictions, while recall focuses on capturing all actual positive instances.