In measuring forecast error, it is important to highlight any periods with excessively high errors because these errors will have significant impact of future success. In this case you should use $\_\_\_\_\_\_\_$ as your measure of forecast error.

Bias

Mean Squared Error $($MSE$)$

Mean Absolute Deviation $($MAD$)$

Mean Absolute Percentage Error $($MAPE$)$