What is ROC-AUC?
Updated May 17, 2026
Short answer
ROC-AUC measures classification performance across thresholds.
Deep explanation
AUC evaluates separability between classes. Higher values indicate better ranking capability.
Real-world example
Fraud detection teams compare models using AUC.
Common mistakes
- Using ROC-AUC on heavily imbalanced data without PR curves.
Follow-up questions
- What is a perfect AUC?
- What does 0.5 mean?