What is ROC-AUC in classification?
Updated May 15, 2026
Short answer
ROC-AUC measures a model's ability to distinguish between classes across thresholds.
Deep explanation
ROC curve plots True Positive Rate vs False Positive Rate. AUC summarizes this curve into a single value representing separability.
Real-world example
Evaluating credit risk models for loan approval.
Common mistakes
- Using ROC-AUC without probability outputs.
Follow-up questions
- What is a good ROC-AUC score?