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  • 标题:Analysis of the Resolution of Crime Using Predictive Modeling
  • 本地全文:下载
  • 作者:Keshab R. Dahal ; Jiba N. Dahal ; Kenneth R. Goward
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2020
  • 卷号:10
  • 期号:3
  • 页码:600-610
  • DOI:10.4236/ojs.2020.103036
  • 出版社:Scientific Research Publishing
  • 摘要:There has been evidence of crime in the US since colonization. In this article, we analyze the crime statistics of San Francisco and its resolution of crime recorded from January to September of the year 2018. We define resolution of crime as a target variable and study its relationship with other variables. We make several classification models to predict resolution of crime using several data mining techniques and suggest the best model for predicting resolution.
  • 关键词:Machine Learning;Classification Model Comparison;Predictive Modeling;Resolution of Crime
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