ML0016 AUC

AUC (Area Under the Curve) is a measure of a model’s ability to distinguish between positive and negative classes, based on the ROC (Receiver Operating Characteristic) curve. It quantifies the area under the ROC curve, where the curve represents the trade-off between the True Positive Rate (TPR) and False Positive Rate (FPR) at various thresholds.

AUC Range:
1.0: Perfect classifier
0.5: Random guessing
Below 0.5: Worse than random guessing, which rarely happens