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?

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