Complete model fitting process with last_fit()

In this exercise, you will train and evaluate the performance of a linear regression model that predicts selling_price using all the predictors available in the home_sales tibble.

This exercise will give you a chance to perform the entire model fitting process with tidymodels, from defining your model object to evaluating its performance on the test data.

Earlier in the chapter, you created an rsample object called home_split by passing the home_sales tibble into initial_split(). The home_split object contains the instructions for randomly splitting home_sales into training and test sets.

The home_sales tibble, and home_split object have been loaded into this session.

Это упражнение является частью курса

Modeling with tidymodels in R

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Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Define a linear regression model
linear_model <- ___ %>% 
  set_engine(___) %>% 
  set_mode(___)

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