生物技术专业学生平时成绩与考研成功率间的随机森林预测分析  

Stochastic Forest Prediction Analysis Between Biotechnology Students’ Usual Grades and Success in the Postgraduate Entrance Examination

作　　者：王萱 刘勇 朱常香[1] 高姗 陈海亮 WANG Xuan;LIU Yong;ZHU Changxiang;GAO Shan;CHEN Hailiang

机构地区：[1]山东农业大学生命科学学院,山东泰安271018 [2]山东农业大学林学院,山东泰安271018

出　　处：《科教文汇》2023年第24期99-102,共4页Journal of Science and Education

基　　金：山东省教育厅本科教学改革研究项目(M2020019);山东农业大学学生工作研究课题(2021YJKT05)。

摘　　要：该文在分析山东农业大学生物技术专业参加考研学生在校期间各门课程平时成绩的基础上,利用R语言构建了以课程平时成绩预测考研成功率的随机森林模型(RF)。结果显示,该模型具有良好的预测准确性(OA:81.3%;AUC:0.84),可以为生物专业就业指导工作和毕业生考研报考提供一定的定量数据支撑与科学参考。Based on the analysis of the academic performance of biotechnology students in each subject,this pa⁃per constructs a random forest model(RF)that predicts the success rate of postgraduate entrance examination based on the usual results of each subject by R language,and the results show that the model has good prediction accuracy(OA:81.3%;AUC:0.84),which can provide certain quantitative data support and scientific reference for school career guidance work and graduate school entrance examination.

关 键 词：就业指导 考研 平时成绩 生物专业 随机森林 

分 类 号：G642[文化科学—高等教育学]