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.
Known as a scale-sensitive accuracy assessment tool, this method isn't suitable for comparing predictions with varying scales. The mean absolute error is frequently employed as an indicator of forecast error in time series analysis and is sometimes conflated with the more conventional concept of mean absolute deviation.