juniorClassification
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?