Area Under the ROC Curve

A metric measuring a classification model's ability to distinguish between classes across all classification thresholds, with 1.0 indicating perfect discrimination.

A score from 0 to 1 measuring how well an AI can tell two things apart. 1.0 is perfect, 0.5 is random guessing. It's like a report card grade for the AI's ability to distinguish cats from dogs.