Collecting predictions and creating custom metrics
Using the last_fit() modeling workflow also saves time in collecting model predictions. Instead of manually creating a tibble of model results, there are helper functions that extract this information automatically.
In this exercise, you will use your trained model, telecom_last_fit, to create a tibble of model results on the test dataset as well as calculate custom performance metrics.
Your trained model, telecom_last_fit, has 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.
# Collect predictions
last_fit_results <- telecom_last_fit %>%
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# View results
last_fit_results