Streamlining the modeling process

The last_fit() function is designed to streamline the modeling workflow in tidymodels. Instead of training your model on the training data and building a results tibble using the test data, last_fit() accomplishes this with one function.

In this exercise, you will train the same logistic regression model as you fit in the previous exercises, except with the last_fit() function.

Your data split object, telecom_split, and model specification, logistic_model, have been loaded into your session.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Modeling with tidymodels in R

पाठ्यक्रम देखें

अभ्यास निर्देश

Pass your logistic_model object into the last_fit() function.
Predict canceled_service using avg_call_mins, avg_intl_mins, and monthly_charges.
Display the performance metrics of your trained model, telecom_last_fit.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

# Train model with last_fit()
telecom_last_fit <- ___ %>% 
  last_fit(___,
           split = ___)

# View test set metrics
telecom_last_fit %>% 
  ___

कोड संपादित करें और चलाएँ