ROC AUC curve: essential metrics for Machine Learning models
The ROC (Receiver Operating Characteristic) curve and its associated metric AUC (Area Under the Curve) are essential tools for assessing classification models in machine learning. These metrics offer crucial insights into a model’s capability to differentiate between classes, particularly in binary classification scenarios. The Fundamentals of ROC AUC The ROC curve essentially serves as a […]
