Split the data into a training and test set

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Recall that, in the $3\mathrm{.}3$ IDE activity M$3$U$2$ practice notebook, the steps in the following cell were introduced. You may also reference the documentation on the scikit$-$learn website for the following:

train$\_$test$\_$split$()$

DecisionTreeRegressor$()$

mean$\_$squared$\_$error$()$

Refer to the Statistics How To website for more information on mean squared error.