Tutorial on Decision Tree

By Kardi Teknomo, PhD.

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Decision tree is a popular classifier that does not require any knowledge or parameter setting. The approach is supervised learning. Given a training data, we can induce a decision tree. From a decision tree we can easily create rules about the data. Using decision tree, we can easily predict the classification of unseen records. In this decision tree tutorial, you will learn how to use, and how to build a decision tree in a very simple explanation

The topics of this tutorial are

What is Decision Tree?
How to use a decision tree?
How to training a decision tree?

How to measure impurity?

Entropy
Gini Index
Classification error

How a decision tree algorithm work?

Information Gain
Second Iteration
Third Iteration

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Preferable reference for this tutorial is

Teknomo, Kardi. (2009) Tutorial on Decision Tree.
http://people.revoledu.com/kardi/tutorial/DecisionTree/