Visualizing classification trees

Due to government rules to prevent illegal discrimination, lenders are required to explain why a loan application was rejected.

The structure of classification trees can be depicted visually, which helps to understand how the tree makes its decisions. The model loan_model that you fit in the last exercise is available to use.

This exercise is part of the course

Supervised Learning in R: Classification

View Course

Exercise instructions

Type loan_model to see a text representation of the classification tree.
Load the rpart.plot package.
Apply the rpart.plot() function to the loan model to visualize the tree.
See how changing other plotting parameters impacts the visualization by running the supplied command.

Hands-on interactive exercise

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

# Examine the loan_model object


# Load the rpart.plot package


# Plot the loan_model with default settings


# Plot the loan_model with customized settings
rpart.plot(loan_model, type = 3, box.palette = c("red", "green"), fallen.leaves = TRUE)

Edit and Run Code