Reader small image

You're reading from  The Machine Learning Workshop - Second Edition

Product typeBook
Published inJul 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781839219061
Edition2nd Edition
Languages
Tools
Right arrow
Author (1)
Hyatt Saleh
Hyatt Saleh
author image
Hyatt Saleh

Hyatt Saleh discovered the importance of data analysis for understanding and solving real-life problems after graduating from college as a business administrator. Since then, as a self-taught person, she not only works as a machine learning freelancer for many companies globally, but has also founded an artificial intelligence company that aims to optimize everyday processes. She has also authored Machine Learning Fundamentals, by Packt Publishing.
Read more about Hyatt Saleh

Right arrow

The Decision Tree Algorithm

The decision tree algorithm performs classification based on a sequence that resembles a tree-like structure. It works by dividing the dataset into small subsets that serve as guides to develop the decision tree nodes. The nodes can be either decision nodes or leaf nodes, where the former represent a question or decision, and the latter represent the decisions made or the final outcome.

How Does the Decision Tree Algorithm Work?

Considering what we just mentioned, decision trees continually split the dataset according to the parameters defined in the decision nodes. Decision nodes have branches coming out of them, where each decision node can have two or more branches. The branches represent the different possible answers that define the way in which the data is split.

For instance, consider the following table, which shows whether a person has a pending student loan based on their age, highest education, and current income:

...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
The Machine Learning Workshop - Second Edition
Published in: Jul 2020Publisher: PacktISBN-13: 9781839219061

Author (1)

author image
Hyatt Saleh

Hyatt Saleh discovered the importance of data analysis for understanding and solving real-life problems after graduating from college as a business administrator. Since then, as a self-taught person, she not only works as a machine learning freelancer for many companies globally, but has also founded an artificial intelligence company that aims to optimize everyday processes. She has also authored Machine Learning Fundamentals, by Packt Publishing.
Read more about Hyatt Saleh