Which metric is most appropriate for evaluating regression models?
- Accuracy
- Precision
- RMSE
- F1 Score
Answer: RMSE
Regression metrics: RMSE (Root Mean Square Error) penalizes large errors, MAE for robustness, R² for variance explained. Choice depends on business impact of errors.