Research on the Application of Decision Tree and Correlation Analysis Algorithm in College Students’ Physical Fitness Analysis

Q4 Engineering
Jingang Fan, Yan Yang, Jiabao Liu
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引用次数: 0

Abstract

With the advent of the big data era, data-driven decision-making and analysis are increasingly valued in various fields. Especially in the field of education, how to use big data technology to better understand student needs, optimize the education process, and improve education quality has become an important research topic. This paper will explore the application of decision trees and related analysis algorithms in the analysis of college students’ physical fitness, in order to provide scientific basis for improving the physical health level of college students. This paper studies the application of DT (decision tree) and correlation analysis algorithm in the analysis of college students’ physical fitness. In this paper, the method of big data and DM (data mining) is proposed to extract the rules contained in the data information, so as to directly provide auxiliary decision-making for physical fitness test and analysis. The research results show that through training the training set, a good classification accuracy rate is achieved, and through optimizing the depth, the accuracy rate can reach more than 85.033%. Using DM technology as a carrier, this paper digs into the rules behind the new knowledge of college students’ physical fitness, and digs out the previously unknown, implied and potentially useful information and knowledge.
决策树与相关分析算法在大学生体质分析中的应用研究
随着大数据时代的到来,数据驱动的决策和分析越来越受到各个领域的重视。特别是在教育领域,如何利用大数据技术更好地了解学生需求、优化教育过程、提高教育质量已成为一个重要的研究课题。本文将探讨决策树及相关分析算法在大学生体质分析中的应用,以期为提高大学生体质健康水平提供科学依据。本文研究了 DT(决策树)和相关分析算法在大学生体质分析中的应用。本文提出了大数据和 DM(数据挖掘)的方法,提取数据信息中蕴含的规则,从而直接为体质测试分析提供辅助决策。研究结果表明,通过训练集的训练,达到了较好的分类准确率,通过优化深度,准确率可达85.033%以上。本文以DM技术为载体,挖掘大学生体质新知识背后的规律,挖掘出以往未知的、隐含的、潜在有用的信息和知识。
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来源期刊
International Journal of High Speed Electronics and Systems
International Journal of High Speed Electronics and Systems Engineering-Electrical and Electronic Engineering
CiteScore
0.60
自引率
0.00%
发文量
22
期刊介绍: Launched in 1990, the International Journal of High Speed Electronics and Systems (IJHSES) has served graduate students and those in R&D, managerial and marketing positions by giving state-of-the-art data, and the latest research trends. Its main charter is to promote engineering education by advancing interdisciplinary science between electronics and systems and to explore high speed technology in photonics and electronics. IJHSES, a quarterly journal, continues to feature a broad coverage of topics relating to high speed or high performance devices, circuits and systems.
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