Model training and prediction

You have preprocessed your training and test datasets in the previous exercise. Since you incorporated feature engineering into your modeling workflow, you are able to use all of the predictor variables available in the telecommunications data!

The next step is training your logistic regression model and using it to obtain predictions on your new preprocessed test dataset.

Your preprocessed training and test datasets, telecom_training_prep and telecom_test_prep, as well as your model object, logistic_model, have been loaded into your session.

แบบฝึกหัดนี้เป็นส่วนหนึ่งของหลักสูตร

Modeling with tidymodels in R

ดูคอร์ส

แบบฝึกหัดเชิงโต้ตอบแบบลงมือทำ

ลองทำแบบฝึกหัดนี้โดยเติมโค้ดตัวอย่างนี้ให้สมบูรณ์

# Train logistic model
logistic_fit <- ___ %>% 
  ___(___, data = ___)

แก้ไขและรันโค้ด