MAE function

Mean Absolute Error

The mean of absolute errors between real values and predictions.

MAE(Y, Ypred)

Arguments

• Y: a real vector with the values of the output
• Ypred: a real vector with the predicted values at the same inputs

Returns

a real which represents the mean of the absolute errors between the real and the predicted values:

where $xi$ denotes the points of the experimental design, $Y$ the output of the computer code and $Ypred$ the fitted model.

Author(s)

D. Dupuy

See Also

other quality criteia as RMSE and RMA.

Examples

X       <- seq(-1,1,0.1)
Y       <- 3*X + rnorm(length(X),0,0.5)
Ypred   <- 3*X
MAE(Y,Ypred)