Understanding ROC and AUC in Model Evaluation

This chapter explores the ROC curve and the Area Under the Curve (AUC) as metrics for assessing classification model performance. It discusses the significance of these visual tools, their limitations, and the importance of considering various thresholds, especially in scenarios with imbalanced classes like fraud detection.