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.

Possible answers

Only 3.197988

8.26 or 340.06

2.32 or 3.2

Less than 0.905 and greater than 0.905

Exercise

Inspect model output

Instructions

Possible answers