Below is the result of accuracy calculation using training set and test set. Which of the following statement is INCORRECT?

$>$ # training

$>$ accuracy$($pred$\_$t$,$ toyota.corolla.df$[$training$,]$$Price$)$

ME RMSE MAE MPE MAPE

Test set $-2\mathrm{.}391715$e$-111052\mathrm{.}768786\mathrm{.}307-0\mathrm{.}9444058\mathrm{.}016636$

$>$ # validation

$>$ accuracy$($pred$\_$v$,$ toyota.corolla.df$[$validation$,]$$Price$)$

ME RMSE MAE MPE MAPE

Test set $53\mathrm{.}980391418\mathrm{.}511879\mathrm{.}5396-0\mathrm{.}64409688\mathrm{.}778707$

The model fitted using the training data is overfitted

The Mean Error of the validation set is $38\mathrm{.}4$

Based on the model evaluation results, we can implement this model because it is clear that the fitted model is not overfitted

The root mean squared error of the training set is bigger than that of the validation set.