基于XGBoost算法分析影响二手车拍卖价的因素
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Analysis of Factors Affecting the Auction Price of Used Vehicles Based on XGBoost Algorithms
  • 作者:周瑞凯
  • 英文作者:Zhou Ruikai;Wuhan University of Technology;
  • 关键词:XGBoost ; 二手车 ; 拍卖价格
  • 英文关键词:XGBoost;;used car;;auction price
  • 中文刊名:XXDL
  • 英文刊名:China Computer & Communication
  • 机构:武汉理工大学;
  • 出版日期:2019-03-25
  • 出版单位:信息与电脑(理论版)
  • 年:2019
  • 期:No.424
  • 语种:中文;
  • 页:XXDL201906025
  • 页数:3
  • CN:06
  • ISSN:11-2697/TP
  • 分类号:60-61+65
摘要
随着国家对二手车市场的进一步开放和"互联网+"的大力推广,C2B模式下的二手车拍卖网站快速发展。二手车市场被认为是汽车产业链上的最后一片蓝海。近年来,很多投资纷纷入驻二手车行业。笔者根据车系、车况等级、车龄、行驶里程、新车指导价、排放标准、过户情况和拍卖人数等特征,构建了基于XGBoost算法的二手车拍卖价格预测模型,分析了各特征对拍卖价格的影响。
        With the further opening of the second-hand car market and the vigorous promotion of "Internet +",the secondhand car auction website under the C2 B mode has developed rapidly.The used car market is considered to be the last blue sea in the automotive industry chain.In recent years,many investments have entered the second-hand car industry.According to the characteristics of car system,vehicle condition grade,vehicle age,driving mileage,guidance price of new car,emission standard,transfer situation and auction number,the author constructs a prediction model of used car auction price based on XGBoost algorithm,and analyses the influence of each feature on auction price.
引文
[1]中国拍卖行业协会,商务部流通业发展司.中国拍卖行业发展报告(2017)[EB/OL].(2018-04-18)[2019-03-25].http://www.caa123.org.cn/frontnc06News Content Action.do?method=previewContent&ID=13914.
    [2]中国拍卖行业协会.中国机动车拍卖市场统计年报[EB/OL].(2018-10-16)[2019-03-25].http://wemedia.ifeng.com/82377164/wemedia.shtml.
    [3]Chen T,Guestrin C.XGBoost:A Scalable Tree Boosting System[C].//The 22nd ACM SIGKDD International Conference,2016.