Explain Precision and Recall

Updated May 17, 2026

Short answer

Precision measures correctness of positive predictions; recall measures detection rate.

Deep explanation

Precision focuses on false positives, while recall focuses on false negatives.

Real-world example

Spam filters prioritize precision; disease detection prioritizes recall.

Common mistakes

  • Ignoring business impact.

Follow-up questions

  • What is F1-score?
  • When prioritize recall?

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