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Machine Learning
book

Machine Learning

by Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Mohammed Bashier
August 2016
Intermediate to advanced content levelIntermediate to advanced
204 pages
3h 51m
English
CRC Press
Content preview from Machine Learning

Chapter 2

Decision Trees

2.1 Introduction

Decision tree (DT) is a statistical model that is used in classification. This machine-learning approach is used to classify data into classes and to represent the results in a flowchart, such as a tree structure [1]. This model classifies data in a dataset by flowing through a query structure from the root until it reaches the leaf, which represents one class. The root represents the attribute that plays a main role in classification, and the leaf represents the class. The DT model follows the steps outlined below in classifying data:

  1. It puts all training examples to a root.

  2. It divides training examples based on selected attributes.

  3. It selects attributes by using some statistical measures.

  4. Recursive ...

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Publisher Resources

ISBN: 9781315354415