I'm using randomForest to fit a model with continuous response variable. I was reading the An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics), in Chapter 8, section 8.3.3 Bagging and Random Forests, it uses the following example:
However, as you can see, the outcome is way different from the result from summary statistics. I'm not sure why this happens, and which one is the correct MSE, and if I want to use MSE to compare to compare with other models, which MSE should I use?
Thank you in advance.