The mean absolute error used the same scale as the data being measured.
2.
The mean absolute error is one of a number of ways of comparing forecasts with their eventual outcomes.
3.
This property, undesirable in many applications, has led researchers to use alternatives such as the mean absolute error, or those based on the median.
4.
The two most popular measures of accuracy that incorporate the forecast error are the Mean Absolute Error ( MAE ) and the Root Mean Squared Error ( RMSE ).
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The study found : " With few exceptions, the private sector forecasts are less biased and more accurate in terms of mean absolute error and root mean square error.
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Such functions include the mean squared error, root mean squared error, mean absolute error, relative squared error, root relative squared error, relative absolute error, and others.
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The mean absolute error is a common measure of forecast error in time series analysis, where the terms " mean absolute deviation " is sometimes used in confusion with the more standard definition of mean absolute deviation.
8.
Where a prediction model is to be fitted using a selected performance measure, in the sense that the least squares approach is related to the mean squared error, the equivalent for mean absolute error is least absolute deviations.
9.
Forecast skill for single-value forecasts is commonly represented in terms of metrics such as correlation, root mean squared error, mean absolute error, relative mean absolute error, bias, and the Brier score, among others.
10.
Forecast skill for single-value forecasts is commonly represented in terms of metrics such as correlation, root mean squared error, mean absolute error, relative mean absolute error, bias, and the Brier score, among others.
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