RMSE {DiceEval} | R Documentation |
The root of the Mean Squared Error between the exact value and the predicted one.
RMSE(Y, Ypred)
Y |
a real vector with the values of the output |
Ypred |
a real vector with the predicted values |
a real which represents the root of the mean squared error between the target response Y
and the fitted one \hat{Y}
:
\code{RMSE} = \sqrt{\frac{1}{n} \sum_{i=1}^{n} \left( Y \left( x_{i}\right)-\hat{Y}
\left( x_{i}\right)\right)^2}.
D. Dupuy
other validation criteria as MAE
or RMA
X <- seq(-1,1,0.1)
Y <- 3*X + rnorm(length(X),0,0.5)
Ypred <- 3*X
print(RMSE(Y,Ypred))