Question: Although decision trees are simple and useful for interpretation, they are typically less accurate in prediction compared to advanced supervised learning methods, such as ensemble

Although decision trees are simple and useful for interpretation, they are typically less accurate in prediction compared to advanced supervised learning methods, such as ensemble techniques like random forests and boosting

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