Inspect model output
A hyperparameter is a value that influences the training process and can have a great impact on model performance. Available in your workspace is a regression tree model that was created using the following code:
model <- decision_tree(tree_depth = 1) %>%
set_mode("regression") %>%
set_engine("rpart") %>%
fit(final_grade ~ ., data = chocolate_train)
As you can see, the tree_depth
hyperparameter is set to 1
, which means there's only one split in the tree.
What are the possible values for final_grade
that will be predicted by this regression tree? Use the console to inspect model
and find the answer.
This exercise is part of the course
Machine Learning with Tree-Based Models in R
Hands-on interactive exercise
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