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  3. Machine Learning with Tree-Based Models in R

Exercise

Finalize the model

Once you have executed the tuning process and found the best-performing hyperparameters, there are only two last steps to finalize your model: plug the winners into the dummy model specification and re-train your model on the whole training set using this final specification.

This way, your final model will be trained on the whole training set using the optimal hyperparameters.

Pre-loaded in your workspace are tune_results from the last exercise, the untuned specification, boost_spec, and the training data, customers_train.

Instructions 1/3

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  • Select the best-performing hyperparameters of tune_results and save them as best_params.