add crossvalidation to the overfitting / underfitting example

I have added a simple crossvalidation to quantify which model actually performs better. I added a brief comment too.

Also added a balanced_accuracy score, see https://github.com/scikit-learn/scikit-learn/issues/3506
I would just omit this comment on the negative MSE for now.