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  3. Dimensionality Reduction in R

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.