What is recall in classification?

Updated May 15, 2026

Short answer

Recall measures how many actual positives are correctly identified.

Deep explanation

Recall = TP / (TP + FN). It focuses on minimizing false negatives.

Real-world example

Disease detection systems prioritize high recall to avoid missing patients.

Common mistakes

  • Optimizing recall without considering precision.

Follow-up questions

  • What happens when recall is low?

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