All glossary terms
conceptsintermediate

AUC-ROC (Area Under the Receiver Operating Characteristic Curve)

A metric measuring the tradeoff between true positive rate and false positive rate across classification thresholds.

In more detail

AUC-ROC ranges from 0 to 1, with 0.5 indicating random performance and 1.0 perfect discrimination. Robust to class imbalance. Useful for comparing models across thresholds. Complements precision and recall.

Examples

  • Binary classification evaluation
  • Medical diagnostics
  • Ranking algorithms
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