Tag Archives: AUC

ROC AUC – Area under the ROC curve Useful metric One way to quantify how close we are to the ideal point is by measuring the area under the ROC curve (AUC). AUC equals 0.5 for a random baseline and 1.0 for an ideal curve. Therefore, our model’s AUC should fall between 0.5 and 1.0.Continue reading “ML Zoomcamp 2023 – Evaluation metrics for classification– Part 6”