Web Reference: Jan 6, 2026 · A decision tree is a popular supervised machine learning algorithm used for both classification and regression tasks. It works with categorical as well as continuous output variables and is widely used due to its simplicity, interpretability and strong performance on structured data. In this chapter we will show you how to make a "Decision Tree". A Decision Tree is a Flow Chart, and can help you make decisions based on previous experience. In the example, a person will try to decide if he/she should go to a comedy show or not. For instance, in the example below, decision trees learn from data to approximate a sine curve with a set of if-then-else decision rules. The deeper the tree, the more complex the decision rules and the fitter the model.
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