MAE vs RMSE vs R²: how do you choose regression metrics?

MAE measures average absolute error (robust to outliers). RMSE penalizes large errors more. R² measures explained variance but can be misleading outside context. Choose based on: - Whether large errors are especially costly - Interpretability in business units - Outlier sensitivity Always compare against a baseline (mean/naive model).