The mean of absolute errors between real values and predictions.
a real vector with the values of the output
a real vector with the predicted values at the same inputs
a real which represents the mean of the absolute errors between the real and the predicted values:
MAE = 1/n * [|Y(x1)-Ypred(x1)|+...+|Y(xn)-Ypred(xn)|]
where xi denotes the points of the experimental design, Y the output of the computer code and Ypred the fitted model.
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