What is decision tree

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Accepted Answer

A decision tree is a flowchart-like structure used to make decisions or predictions based on multiple conditions or features.

A decision tree is a hierarchical structure with nodes representing conditions or features, branches representing possible outcomes, and leaves representing final decisions or predictions.
It is a popular machine learning algorithm used for classification and regression tasks.
Each internal node in the tree represents a test on a specific feature, and each branch represents the outcome of that test.
The tree is built by recursively partitioning the data based on the selected features until a stopping criterion is met.
Decision trees can handle both categorical and numerical features.
They are easy to interpret and visualize, making them useful for explaining the decision-making process.
Example: A decision tree can be used to predict whether a customer will churn based on their age, income, and purchase history.