This is known as a scale-dependent accuracy measure and therefore cannot be used to make comparisons between predicted values that use different scales. The mean absolute error is a common measure of forecast error in time series analysis, sometimes used in confusion with the more standard definition of mean absolute deviation.
This is a measure that varies based on scale, thus unsuitable for direct comparisons between different scales. The mean absolute error serves as a common metric for evaluating forecast errors in time series analysis, often confused with the standard definition of mean absolute deviation.