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Decision trees are widely used for classification and prediction by splitting data into branches based on conditions. They are easy to interpret, handle both numerical and categorical data, and provide clear visual insights. Commonly applied in AI, finance, and healthcare, decision trees help businesses make data-driven decisions efficiently. Understanding their structure and applications enhances predictive accuracy and analytical capabilities.

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