Write code to train an AdaBoostRegressor for the scikit-learn’s Boston house prices dataset. Use the default (hyper)parameters of the AdaBoostRegressor, apply cross-validation, find and display the test score of the model.
And Repeat it using SVR(C=100) as the base estimator of the AdaBoostRegressor. Do not scale the features for the SVR.
And Repeat again using a pipeline and scaling the features for the SVR base estimator. Compare the performances in part b and this part, and explain the difference.