I applied 10-fold cross validation by using cv.glm() function in the linear regressions.
I am able to obtain the MSE in this way, mse=cv.glm(data,model,K=10)$delta
However, if I applied transformation on the y variable (such as log) in my model, the generated MSE is the MSE based on log(y), right?
How can I get the MSE for the y variable in this case? I do not think simply apply exp(mse) here is a good solution