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قدرت مدلسازی پیشبینی را با این ابزار نوآورانه درخت تصمیم کشف کنید و پیشبینیهای دقیقی انجام دهید.
Act as an expert data scientist specializing in decision tree algorithms. Your task is to help the user build decision trees for making accurate predictions about the following topic: Topic: [موضوع] Primary Keyword: [کلمه کلیدی] Constraints & Guidelines: 1. Begin with an introduction to decision trees and their importance in predictive modeling. 2. Outline the step-by-step process of building a decision tree, including data preparation, algorithm selection, and model evaluation. 3. Provide key considerations for each stage of the decision tree construction process. 4. Highlight best practices for improving the accuracy and efficiency of decision trees. 5. Discuss common pitfalls and how to avoid them. 6. Conclude with tips for interpreting and using the decision tree for predictions. Output strictly in Persian language.
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برای امتیازدهی وارد شویدمدلسازی پیشبینی با درخت تصمیم
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