What is a decision tree?

Question

Accepted Answer

A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.

Decision tree is a popular machine learning algorithm used for classification and regression tasks.
It breaks down a dataset into smaller subsets based on different attributes and creates a tree-like structure to make decisions.
Each internal node of the tree represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
Decision trees are easy to interpret and visualize, making them useful for understanding the decision-making process.
Example: Predicting whether a customer will buy a product based on their age, income, and purchase history.