决策树在预测获胜队伍中的应用

Xiaohu Tang, Zhifeng Liu, Taizhao Li, Wenbin Wu, Zhenhua Wei
{"title":"决策树在预测获胜队伍中的应用","authors":"Xiaohu Tang, Zhifeng Liu, Taizhao Li, Wenbin Wu, Zhenhua Wei","doi":"10.1109/ICVRIS.2018.00065","DOIUrl":null,"url":null,"abstract":"Decision tree algorithm is mainly used for analyzing data and forecasting.The algorithm is easy to understand and implement, and it is easy to evaluate the model through static testing.In this paper, the decision tree algorithm is applied to predict the result of Chinese Football Association Super League(CFASL). In this paper, the data of CFASL 2015, 2016 and 2017 seasons are collected. And \"the result of each team's last match\", \"compare of teams' ranking in last season\", \"the result of last time the two teams played\",etc. are selected as features to predict the winner of a CFASL match. The experiments found that \"two teams' performance in their recent matches\", \"whether team A has defeated team B as an away team\" and \"whether team B has defeated team A as an away team\" played a key role in improving the accuracy of predicting.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Application of Decision Tree in the Prediction of Winning Team\",\"authors\":\"Xiaohu Tang, Zhifeng Liu, Taizhao Li, Wenbin Wu, Zhenhua Wei\",\"doi\":\"10.1109/ICVRIS.2018.00065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Decision tree algorithm is mainly used for analyzing data and forecasting.The algorithm is easy to understand and implement, and it is easy to evaluate the model through static testing.In this paper, the decision tree algorithm is applied to predict the result of Chinese Football Association Super League(CFASL). In this paper, the data of CFASL 2015, 2016 and 2017 seasons are collected. And \\\"the result of each team's last match\\\", \\\"compare of teams' ranking in last season\\\", \\\"the result of last time the two teams played\\\",etc. are selected as features to predict the winner of a CFASL match. The experiments found that \\\"two teams' performance in their recent matches\\\", \\\"whether team A has defeated team B as an away team\\\" and \\\"whether team B has defeated team A as an away team\\\" played a key role in improving the accuracy of predicting.\",\"PeriodicalId\":152317,\"journal\":{\"name\":\"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRIS.2018.00065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS.2018.00065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

决策树算法主要用于数据分析和预测。该算法易于理解和实现,并且易于通过静态测试对模型进行评估。本文将决策树算法应用于中国足球超级联赛(CFASL)的结果预测。本文收集了CFASL 2015、2016和2017三个季节的数据。以及“两队最近一场比赛的结果”、“上赛季两队排名比较”、“两队最近一次比赛的结果”等。作为预测CFASL比赛获胜者的特征。实验发现,“两支球队在最近比赛中的表现”、“A队是否在客场击败过B队”和“B队是否在客场击败过A队”对提高预测的准确性起着关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Decision Tree in the Prediction of Winning Team
Decision tree algorithm is mainly used for analyzing data and forecasting.The algorithm is easy to understand and implement, and it is easy to evaluate the model through static testing.In this paper, the decision tree algorithm is applied to predict the result of Chinese Football Association Super League(CFASL). In this paper, the data of CFASL 2015, 2016 and 2017 seasons are collected. And "the result of each team's last match", "compare of teams' ranking in last season", "the result of last time the two teams played",etc. are selected as features to predict the winner of a CFASL match. The experiments found that "two teams' performance in their recent matches", "whether team A has defeated team B as an away team" and "whether team B has defeated team A as an away team" played a key role in improving the accuracy of predicting.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信