juniorLinear Regression
What metrics are used to evaluate Linear Regression?
Updated May 16, 2026
Short answer
Common metrics include MAE, MSE, RMSE, and R².
Deep explanation
These metrics measure different aspects of prediction error, from average error magnitude to variance explained.
Real-world example
Evaluating demand forecasting models.
Common mistakes
- Using only one metric blindly.
Follow-up questions
- When is MAE preferred over MSE?