MAE (Mean Absolute Error)
Loss function measuring average absolute difference between predicted and actual values.
In italiano: MAE (Mean Absolute Error)MAE = (1/n) * Σ|y_true - y_pred|. More robust to outliers than MSE. Linear penalty for errors.
Examples
- Robust regression loss
- Outlier-resistant evaluation
- Error magnitude