Application of Random Forest Algorithm to the Problem of College Graduate without Employment
Based on the employment historical data of a university for five years,this paper constructs a prediction model of col-lege 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 employ-ment of student groups,target employment guidance.For the employment of college students it has a certain guiding signifi-cance.
万方数据
维普
