Tag Archives: True Positive Rate

ROC Curve (Receiver Operating Characteristics) ROC (Receiver Operating Characteristic) curves are a valuable tool for evaluating binary classification models, especially in scenarios where you want to assess the trade-off between false positives and true positives at different decision thresholds. The ROC curve visually represents the performance of a model by plotting the TPR (True PositiveContinue reading “ML Zoomcamp 2023 – Evaluation metrics for classification– Part 5”