# mean absolute deviation

- = MADA measure of forecast error, for example when carrying out adaptive exponential smoothing of time-series data. MAD is the average forecast error, either positive or negative, calculated as the sum of the absolute value of forecast error for all periods, divided by the total number of periods evaluated.

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