基于C4.5和随机森林算法的中医药院校毕业生就业预测应用研究

摘要

中医药院校的就业渠道较窄,就业压力较大.如何精确预测就业困难学生,提供帮扶,使其早日就业是高校非常重要的一项工作.本文基于C4.5决策树算法,生成就业判定决策树,确定就业的重要影响因素,并预测就业情况.并进一步使用随机森林算法提高就业预测正确率.本文结合两种方法为中医药类高校毕业生工作就业预测提供了一种新方法,具有一定的实际应用价值.%Chinese medicine institutions of employment channels is relatively narrow,graduates have great employment pressure.How to accurately predict the employment of students,to help them,so that they can early employment is a very important university work.Based on C4.5 decision tree algorithm,this paper generates employment decision tree,determines the important influencing factors of employment and predicts the employment situation.And further use the random forest algorithm to improve the accuracy of employment forecast.This paper provides a new method for the employment of Chinese medicine colleges and universities,and has practical application value.