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

Question

Data Science with Python — Medium

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

Accepted Answer

Precision and recall are two key metrics in classification. Precision measures the accuracy of positive predictions, while recall measures the ability to find all positive instances. This means precision focuses on the predicted positives, while recall focuses on the actual positives.