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.
Este exercício faz parte do curso
Modeling with tidymodels in R
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Collect predictions
last_fit_results <- telecom_last_fit %>%
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# View results
last_fit_results