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
Root Mean Squared Error definition
Algorithm Performance Test Window