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Fitting, augmenting, and assessing

You are ready to fit the workflow to the training data and assess its performance using the testing split.

The embed package, the lr_workflow_glm object, and the corresponding test and train splits are in your workspace.

This exercise is part of the course

Feature Engineering in R

View Course

Exercise instructions

  • Fit the workflow to the training set.
  • Augment the fit using the test split.
  • Assess the model.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Fit the workflow to the training set
lr_fit_glm <- lr_workflow_glm %>%
  ___(train)

# Augment the fit using the test split
lr_aug_glm <- lr_fit_glm %>%
  ___(test)

# Assess the model
glm_metrics <- lr_aug_glm %>%
  class_evaluate(truth = ___,
                 estimate = .pred_class,
                 .pred_Yes)

glm_metrics
Edit and Run Code