Decision Tree Learning

A simple machine learning technique to create a decision tree
Decision Tree Learning

How does it work?

Decision trees are among the most popular machine learning algorithms given their intelligibility and simplicity. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making.

Example Decision Tree (source)

When should you use it?

  • If your data is structured and consists of scalar values
  • If you want to create a classifier based on labeled sample data
  • If you need your system to be transparent about the decisions it makes

Decision Tree Learning may be faster and easier than a neural network in some cases.