Question: Write code to train an AdaBoostRegressor for the scikit-learns Boston house prices dataset. Use the default (hyper)parameters of the AdaBoostRegressor, apply cross-validation, find and display

Write code to train an AdaBoostRegressor for the scikit-learns 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.

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