Big Data, News & Announcements

Using Decision Trees to predict infant birth weights

In this article, I will show you how to use decision trees to predict whether the birth weights of infants will be low or not. We will use the birthwt data from the MASS library.

What is a decision tree?

A decision tree is an algorithm that builds a flowchart like graph to illustrate the possible outcomes of a decision. To build the tree, the algorithm first finds the variable that does the best job of separating the data into two groups. Then, it repeats the above step with the other variables.

Related Post:  Big Data & AI Conference Dallas 2019

This results in a tree graph, where each split represents a decision. The algorithm chooses the splits such that the maximum number of observations are classified correctly. The biggest advantage of a decision tree is that it is really intuitive and can be understood even by people with no experience in the field.

For example, a classification tree showing the survival of passengers of the Titanic is as follows (source: Wikipedia):
survival of passengers of the Titanic

Related Post:  Big Data & AI Conference Dallas 2019

Read the complete article here.

Please share:

We Recommend These Services

Register now for Big Data & AI Conference, international Big Data and AI conference in Dallas, TX (USA), June 27 - 29, 2019

Reasons to use control panel for your server

Register for the End-to-end Machine Learning with TensorFlow on Google Cloud Platform workshop. It will be conducted by the manager of Google's Cloud AI Advocacy team

Launch an SSD VPS in Europe, USA, Asia & Australia on Vultr's KVM-based Cloud platform starting at $5:00/month (15 GB SSD, 768 MB of RAM).

Leave a Comment

Your email address will not be published. Required fields are marked *