Summary

You can use tree models to classify cases into groups identified by certain characteristics, such as the characteristics associated with bank customers with good and bad credit records. If a particular predicted outcome is more important than other possible outcomes, you can refine the model to associate a higher misclassification cost for that outcome—but reducing misclassification rates for one outcome will increase misclassification rates for other outcomes.