- This question explores the different metrics used to evaluate the effectiveness of classification models (e.g., accuracy, precision, recall, F1-score) and regression models (e.g., mean squared error, mean absolute error, R-squared).
2. **What is the importance of selecting appropriate performance metrics for model evaluation, and how can poor metric selection impact model performance?
