Exercise

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.

You trained model, telecom_last_fit, has been loaded into this session.

Instructions 1/3

undefined XP

1
2
3

Create a tibble, last_fit_results, that has the predictions from your telecom_last_fit model.
Print the results to the console.