Specifying a model and recipe
Now that you have created your training and test datasets, the next step is to specify your model and feature engineering pipeline. These are the two components that are needed to create a workflow object for the model training process.
In this exercise, you will define a decision tree model object with decision_tree() and a recipe specification with the recipe() function.
Your loans_training data has been loaded into this session.
This exercise is part of the course
Modeling with tidymodels in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
dt_model <- ___ %>%
# Specify the engine
___ %>%
# Specify the mode
___