What is the primary advantage of using Mean Absolute Deviation $($MAD$)$ over Simple Average Error or Mean Absolute Percentage Error $($MAPE$)$ in forecasting?

What is the primary advantage of using Mean Absolute Deviation $($MAD$)$ over Simple Average Error or Mean Absolute Percentage Error $($MAPE$)$ in forecasting?

MAD calculates errors based on percentage differences, making it easier to compare across different product lines.

MAD allows for a direct comparison between high and low sales periods without bias.

MAD considers the absolute value of forecast errors, providing a more accurate measure of forecasting performance.

MAD provides a simpler calculation method for forecasting errors.