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Setting up your workflow

You want to investigate if JobRole alone can be a predictor for Attrition. Given that JobRole is a factor, you plan to use a Bayes encoder to represent it numerically in your model.

The embed package and the corresponding test and train splits from the attrition dataset are loaded in your workspace.

This exercise is part of the course

Feature Engineering in R

View Course

Exercise instructions

  • Create recipe using the Bayes encoder.
  • Bundle the model and recipe with a workflow.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

lr_model <- logistic_reg()
# Create recipe using the Bayes encoder
lr_recipe_glm <- 
  recipe(Attrition ~ JobRole, data = train) %>%
  ___(JobRole, outcome = ___(Attrition))

# Bundle with workflow
lr_workflow_glm <-
  workflow() %>%
  add_model(lr_model) %>%
  add_recipe(___)

lr_workflow_glm
Edit and Run Code