摘要
目前对社区矫正人员危险性评估的研究普遍停留在理论研究阶段,建立的模型大多缺乏实际数据的支撑,为了方便掌握社区矫正实际情况,基于CART(分类回归树)算法对某市司法局的社区矫正人员数据(不包含敏感信息)进行建模分析,通过服刑人员的基础特征值得到该服刑人员的危险度评估结果,与实际结果相比,准确率达到85%~90%,此外对社区矫正中实际存在的数据缺失问题进行讨论并提出解决办法。
The researches on the risk assessment of community correction staffs stay in the stage of theoretical at present. Most of models are lack of the support of actual data. For easy to master the actual situation of community correction,based on the CART（Classification and Regression Trees） algorithm,this article analyzes the community correction staff data（excluding sensitive information） for modeling. Besides,via the basic characteristics of prisoners,we get the prisoner＇s risk assessment results,and the accuracy is 85% to 90% compared to the actual results. In addition,this paper discusses the lack of the data in the community correction and proposes several solutions.
作者
王茵
郭红钰
WANG Yin;GUO Hong-yu(Dept.8 of System,North China Institute of Computing Technology,Beijing 100083,China)
出处
《计算机与现代化》
2018年第8期73-78,共6页
Computer and Modernization
关键词
社区矫正
危险性评估
分类回归树
数据缺失
community correction
risk assessment
classification and regression trees
data missing
