A decision tree is a flowchart that shows different options for solving a problem, their potential outcomes, costs, and consequences. It looks like a tree starting with one main question at the top called a node that branches out into different possible outcomes called internal nodes, followed by leaf nodes. Though it can be used to solve any type of question, it is most commonly used for making decisions based on numbers and in machine learning for classification and regression problems.
🧩 See How to Build an Interactive Decision Tree
Learn how to guide users through complex choices with interactive decision trees—and watch the step-by-step video tutorial to build your own in minutes.
