Chapter 5: Using Trees for Predictive Analysis

Activity 10: Car Data Classification

This section will discuss how to build a reliable decision tree model capable of aiding your company in finding cars clients are likely to buy. We will be assuming that you are employed by a car rental agency focusing on building a lasting relationship with its clients. Your task is to build a decision tree model classifying cars into one of four categories: unacceptable, acceptable, good, very good.

The data set can be accessed here: https://archive.ics.uci.edu/ml/datasets/Car+Evaluation. Click the Data Folder link to download the data set. Click the Data Set Description link to access the description of the attributes.

Evaluate the utility of your decision tree model.

1. Download the car data file from here: https://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data. Add a header line to the front of the CSV file to reference it in Python more easily:

   Buying,Maintenance,Doors...