juniorClassification
What is a confusion matrix?
Updated May 15, 2026
Short answer
A confusion matrix summarizes prediction results by showing correct and incorrect classifications.
Deep explanation
It includes true positives, true negatives, false positives, and false negatives, helping evaluate classification performance.
Real-world example
Evaluating spam detection system accuracy.
Common mistakes
- Relying only on accuracy instead of full matrix insights.
Follow-up questions
- Why is confusion matrix important?