Explain Confusion Matrix
Updated May 17, 2026
Short answer
A confusion matrix summarizes classification performance.
Deep explanation
It contains true positives, true negatives, false positives, and false negatives.
Real-world example
Medical diagnosis systems analyze false negatives carefully.
Common mistakes
- Optimizing only for accuracy.
Follow-up questions
- What is precision?
- What is recall?