juniorClassification
What is precision in classification?
Updated May 15, 2026
Short answer
Precision measures how many predicted positives are actually correct.
Deep explanation
Precision = TP / (TP + FP). It focuses on reducing false positives.
Real-world example
In spam detection, precision ensures fewer legitimate emails are marked spam.
Common mistakes
- Ignoring recall when precision is high.
Follow-up questions
- When is precision more important than recall?