Description
You are asked to use a decision tree model to predict the usage of a car. The data is the claim_history.csv which has 10,302 observations. The analysis specifications are:
Target Variable
• CAR_USE. The usage of a car. This variable has two categories which are Commercial andPrivate. The Commercial category is the Event value.
Nominal Predictor
• CAR_TYPE. The type of a car. This variable has six categories which areMinivan, Panel Truck, Pickup, SUV, Sports Car, and Van.
• OCCUPATION. The occupation of the car owner. This variable has nine categories which are Blue Collar, Clerical, Doctor, Home Maker, Lawyer, Manager, Professional, Student, and Unknown.
Ordinal Predictor
• EDUCATION. The education level of the car owner. This variable has five ordered categories which are Below High School
