Mean Absolute Error
The mean of absolute errors between real values and predictions.
MAE(Y, Ypred)
Y |
a real vector with the values of the output |
Ypred |
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.
D. Dupuy
X <- seq(-1,1,0.1) Y <- 3*X + rnorm(length(X),0,0.5) Ypred <- 3*X MAE(Y,Ypred)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.