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Explore the advantages and disadvantages of decision trees, including easy interpretation, minimal data preparation, ability to handle both numerical and categorical data, white box model transparency, ease of model evaluation, and more. Learn the benefits and drawbacks of using decision trees in machine learning applications.
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