Citizen Data Scientist, Module III: Measuring Model Performance: Metrics That Matter

Evaluating a machine learning model's performance is crucial to ensure it works well with unseen data. In this post, we explore key metrics for regression and classification, such as R², MSE, precision, recall, and the confusion matrix. With examples that clarify concepts like recall's importance in high-risk scenarios, we also explain k-fold cross-validation to enhance model reliability