Mean Absolute Error is the quantity which helps to measure how close forecasts or predictions are at the final outcomes.
This can be given as |ei| = |fi - yi|
Where, fi -prediction, yi - true value
It is called as scale-dependent accuracy measure, where you cannot use different scales to compare between the series. It is used generally for the measure of forecast error in time series analysis.
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