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Exercise

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.

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  • Use the linear_reg() function to define a linear regression model object. Use the lm engine.
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