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.
Diese Übung ist Teil des Kurses
Modeling with tidymodels in R
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Collect predictions
last_fit_results <- telecom_last_fit %>%
___
# View results
last_fit_results