Exercise

Assessing model performance using all available predictors

In order to assess the performance of your reduced model, it is important to set a benchmark. Measure your full model's performance to understand the trade-off of a reduced model. Recall the variable importance chart that you created in an earlier exercise.

Bar chart of variable importance.

Thetrain and test splits together with your user-defined function class_evaluate() are loaded in your environment. Your fitted model has been saved as fit_full. Thetrain and test splits together with your user-defined function class_evaluate() are loaded in your environment.

Instructions

100 XP

Create an augmented object from the fitted full model.
Assess model performance using class_evaluate.