[MRG] add crossvalidation to overfitting/underfitting example

Improve the plot_underfitting_overfitting.py example by adding a quantitative measure using crossvalidation
I meant, replace:

    the less likely the model describes correctly the data.

with

    the less likely the model generalizes correctly from the training data.