juniorClassification
What is accuracy in classification?
Updated May 15, 2026
Short answer
Accuracy measures the proportion of correct predictions.
Deep explanation
Accuracy = (TP + TN) / total samples. It is simple but misleading for imbalanced datasets.
Real-world example
Used in balanced image classification datasets.
Common mistakes
- Using accuracy for imbalanced classification problems.
Follow-up questions
- Why can accuracy be misleading?