Ordering of step_*() functions
The step_*() functions within a recipe are carried out in sequential order. It's important to keep this in mind so that you avoid unexpected results in your feature engineering pipeline!
In this exercise, you will combine different step_*() functions into a single recipe and see what effect the ordering of step_*() functions has on the final result.
The telecom_training and telecom_test datasets have been loaded into this session.
This exercise is part of the course
Modeling with tidymodels in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
telecom_recipe_1 <-
recipe(canceled_service ~ avg_data_gb + contract, data = ___) %>%
# Normalize numeric predictors
___(___) %>%
# Create dummy variables for nominal predictors
___(___, ___)