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.
Deze oefening maakt deel uit van de cursus
Supervised Learning in R: Classification
Oefeninstructies
- Type
loan_modelto see a text representation of the classification tree. - Load the
rpart.plotpackage. - 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.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# 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)