| Mean Bias Error | |
The mean bias error (MBE) is a measure of how closely a set of predicted values match the set of observed or true values. Windographer calculates MBE 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 |
The MBE is equal to the mean of the predicted values minus the observed values. It measures the mean bias in the predictions.
See also
Mean Absolute Error definition
Root Mean Squared Error definition
Algorithm Performance Test Window