In machine learning and deep learning, evaluating the performance of classification models is crucial for understanding their predictive power and robustness. One of the most widely used methods to assess classification models is the ROC curve and its associated AUC (Area Under the Curve) score. These metrics are essential for model evaluation, especially in binary … Continue reading ROC/AUC Metrics in PyTorch_Model_Eval