Mean Absolute Error

The mean absolute error (MAE) is a measure of how closely a set of predicted values match the set of observed or true values. Windographer calculates MAE using the following equation:

where:

N   is the number of values in the set
yi is the ith observed value
is the ith predicted value

See also

Mean Bias Error definition

Root Mean Squared Error definition

Forecast Error Window

Algorithm Performance Test Window


Written by: Tom Lambert
Contact: windographer.support@ul.com
Last modified: August 6, 2020