Exercise

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.

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Train your logistic_model object to predict canceled_service using all available predictor variables in the telecom_training_prep data.