In decision trees, a branch represents the outcome of a decision or the path taken based on a specific feature. Each branch connects nodes within the tree structure, indicating a split that categorizes data points according to different criteria. The concept of branches is crucial as they help to visualize the decision-making process and how features influence the final predictions made by the model.
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