Exercise

Fit the best model

lasso_grid contains 50 different model specs with 50 different penalty values in penalty_grid. In this exercise, you will find and fit the model with the optimal penalty value. In doing so, you will end up with a lasso regression model that optimizes feature selection for best model performance.

lasso_workflow and train are available for your use. The tidyverse and tidymodels packages have also been loaded for you.

Instructions

100 XP

Retrieve the best fitted model based on RMSE.
Use finalize_workflow() to fit a model based on best_rmse.
Display of the model coefficients of final_lasso.