This article discusses the importance of understanding and memorizing classification metrics in machine learning. The author shares their own experience and strategies for memorizing metrics such as accuracy, precision, recall, F1 score, and ROC AUC.
A ready-to-run tutorial in Python and scikit-learn to evaluate a classification model compared to a baseline model
