Skip main navigation

New offer! Get 30% off one whole year of Unlimited learning. Subscribe for just £249.99 £174.99. New subscribers only. T&Cs apply

Find out more

Decision trees

A detailed look at decision trees, how they work, how they are made, and are combined to make random forests.

Decision trees are a commonly used method for classification problems, though they may also be used for regression. They are called trees as they organise sets of smaller decisions in a hierarchical structure which physically resembles a tree, with branches and leaves (or nodes).

In this video we look at decision trees in detail, including:

  • What are decision trees and what do they do?
  • What is the process for creating a decision tree?
  • Evaluating the decisions made by each node using Gini impurity
  • Methods to avoid overfitting e.g. pruning
  • Creating multiple decision trees, known as random forests.
This article is from the free online

Machine Learning for Image Data

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now