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  3. Feature Engineering in R

Exercise

Assess

The time has come for a reckoning. Tune your model to find out the optimal penalty value and fit a final model to assess your work.

Your workflow, penalty grid, and user-defined class_evaluate() function are available in your environment.

Instructions

100 XP
  • Set up a tune_grid to explore your model performance against ROC_AUC.
  • Select the best penalty value.
  • Fit the final workflow with the best penalty.