Editing Forecasting (section)

===Scaled-dependent errors===
The forecast error, E, is on the same scale as the data, as such, these accuracy measures are scale-dependent and cannot be used to make comparisons between series on different scales.

[[Mean absolute error]] (MAE) or [[average absolute deviation|mean absolute deviation]] (MAD): <math>\ MAE = MAD = \frac{\sum_{t=1}^{N} |E_t|}{N} </math>

[[Mean squared error]] (MSE) or [[mean squared prediction error]] (MSPE): <math>\ MSE = MSPE = \frac{\sum_{t=1}^N {E_t^2}}{N} </math>

[[Root-mean-square deviation|Root mean squared error]] (RMSE): <math>\ RMSE = \sqrt{\frac{\sum_{t=1}^N {E_t^2}}{N}} </math>

Average of Errors (E): <math>\ \bar{E}=  \frac{\sum_{i=1}^N {E_i}}{N} </math>