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
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