Efficiency of the Decision Tree Algorithm in Data Analysis
Keywords:
Decision Tree, data analysis, machine learning, classification, regression, algorithm, artificial intelligenceAbstract
This article analyzes the efficiency and application possibilities of the Decision Tree algorithm in the process of data analysis. Nowadays, processing large volumes of data and extracting useful conclusions from them has become one of the most important tasks. The Decision Tree algorithm is one of the widely used methods in the field of Machine Learning, and it provides effective results in classification and prediction tasks. The article discusses the working principles, main characteristics, advantages, and practical application areas of the Decision Tree algorithm.
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