摘要
基于某校五年的就业历史数据,构建大学生“未就业”预测模型,预测准确率和召回率均达到85%以上。并对未就业的学生的共同特点进行挖掘,找出和未就业相关的影响因素和影响程度。该模型可以帮助学生个体客观评估个人能力,降低期待,有针对性的弥补短板,提高就业能力。同时帮助就业学生工作部门找出就业困难的学生群体,进行有针对性的就业指导,对于大学生就业工作有一定的指导意义。
Based on the employment historical data of a university for five years,this paper constructs a prediction model of college students’“unemployed”,and the prediction accuracy and recall rate are both above 85%.The common characteristics of the unemployed students are excavated to find out the factors and the degree of influence related to the unemployed.This model can help students objectively assess their abilities,reduce their expectations,make up for their weaknesses and improve their employability.At the same time,it can help the employment of students work department to find out the difficulties in employment of student groups,target employment guidance.For the employment of college students it has a certain guiding significance.
作者
李莉
陈文杰
梁珊
LI Li;CHEN Wenjie;LIANG Shan(Information construction Department,China University of Petroleum(East China),qingdao 266580,China;Employment Guidance Center,China University of Petroleum(East China),qingdao 266580,China;School of Economics and Management,China University of Petroleum(East China),qingdao 266580,China)
出处
《微型电脑应用》
2024年第2期118-121,共4页
Microcomputer Applications
基金
中国石油大学(华东)思想政治教育研究课题(学生工作专项)(SZXG2012)。
关键词
分类算法
毕业未就业
就业指导
classification algorithm
graduation unemployment
employment guidance