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.
Diese Übung ist Teil des Kurses
Modeling with tidymodels in R
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
dt_model <- ___ %>%
# Specify the engine
___ %>%
# Specify the mode
___