Summary: The Determination Tree algorithm is a strong and interpretable supervised studying technique used for each classification and regression duties. Its simplicity and skill to supply clear, human-understandable choice guidelines make it a preferred selection in numerous domains. This paper explores the Determination Tree algorithm via a question-and-answer format, overlaying its core ideas, benefits, disadvantages,…
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