Fit and augment
With your lr_workflow
ready to go, you can fit it to the test
data to make predictions.
For model assessment, it is convenient to augment your fitted object by adding predictions and probabilities using augment()
.
This exercise is part of the course
Feature Engineering in R
Exercise instructions
- Fit the workflow to the
train
data. - Augment the
lr_fit
object using thetest
data to get it ready for assessment.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Fit the workflow to the train data
lr_fit <-
___(___, data = train)
# Augment the lr_fit object
lr_aug <-
___(lr_fit, new_data = ___)
lr_aug