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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.

This exercise is part of the course

Machine Learning with Tree-Based Models in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Select the final hyperparameters
best_params <- ___

best_params
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