Root Mean Square Error
The accuracy of a forecasting technique can be assessed use the RMSE.
After the fact of forecasting, the actual (observations =n) values of the
variable for the forecast period can be compared to the forecast values. A
difference for each observation is computed then squared. These differences are
summed after squaring and a mean is determined. Finally the square root is
taken. We get a root mean square error. It is something like the average error,
but more sophisticated.
RMSE = ![]()