Predicting purchase behavior and uncertainty
The log_mod2 purchase behavior model lets you make predictions off credit data. In this exercise, you'll use a new set of data, new_credit_data, and calculate predicted outcomes and confidence bounds.
The model (log_mod2) from the exercise 3 is available in your workspace.
This exercise is part of the course
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate predictions and errors
predictions <- ___(log_mod2, newdata = ___,
type = ___, se.fit = ___)
# Inspect the predictions
predictions