$1.$ Create the DecisionTreeRegressor model object using the hyperparameter values above and assign to variable $\text{'}$dt$\_$model'

$2.$ Fit the model to the training data below

$3.$ Call predict$()$ to use the fitted model to make predictions on the test data. Save the results to variable $\text{'}$y$\_$dt$\_$pred'

$4$: Compute the RMSE and R$2($on y$\_$test and y$\_$dt$\_$pred$)$ and save the results to dt$\_$rmse and dt$\_$r$2$