Data Science Statistics
A decision tree is a flowchart-like structure used for making decisions, where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents an outcome or class label. It serves as a visual and analytical tool in modeling, enabling the selection of relevant variables and the building of predictive models. Decision trees are particularly useful for both classification and regression tasks, providing a clear way to visualize the decision-making process.
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