Ellis Hughes and I discuss how to tune decision trees for regression within the {tidymodels} framework. We cover:
* Pre-processing data
* Splitting data into training and test sets
* Setting tuning parameters and a tuning grid
* Fitting models and gathering model evaluation metrics
* Selecting the final model following tuning and fitting that model to the test data set
* Visualizing your outcomes
To watch our screen cast, CLICK HERE.
To access our code, CLICK HERE.