What is Entropy and Information Gain in Decision Tree?

This post is part 3 in the series of frequently asked Machine Learning Interview Questions and Answers. Here, we will learn about the following frequently asked questions during Machine Learning Interviews.

  1. How to Interpret Decision Tree
  2. How splitting happens in the decision tree.
  3. What is Entropy?
  4. 4. What in Information Gain?
  5. How Information gain helps to decide the parent node and further node split?

Recommended Articles:

Advertisements

One comment

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.