Quantification of errors often involves statistical methods. Key metrics include: - Mean Absolute Error (MAE): Measures the average magnitude of the errors. - Root Mean Square Error (RMSE): Provides the square root of the average squared differences between predicted and observed values. - Standard Deviation: Indicates the extent of variation or dispersion from the average.
