Research on the Employment Prediction Method of College Students Under the Background of Mass Entrepreneurship and Innovation Education

In the current context of globalization and digitization, college graduates are facing the complexity of the employment situation and the intense competition. Predicting the employment situation of college students is of great significance for formulating relevant policies, providing effective career guidance and support, and helping college students plan their career development paths. When forecasting the employment situation of college students, the reliability of the prediction results is relatively low due to the large number of factor parameters that need to be calculated. Therefore, the research on the employment prediction method of college students under the background of entrepreneurship and innovation education is proposed. In the stage of comprehensive analysis of the factors affecting the employment of college students, the research is carried out from the perspectives of individual graduates, university education system, employers and employment market, and the composition of each factor is refined. Considering the relationship between incomplete labor market information and college students’ employment, this paper analyzes the operation mechanism of the job search model from the perspective of market labor remuneration. Finally, output the parameters of college students’ employment influencing factors to the integrated algorithm W_voting, the job search model is used as a classifier to predict the employment of college students. In the test results, the accuracy rate of the design method for predicting the employment situation of college students reached 0.95, the recall rate reached 0.96, and the F1 value reached 0.96. From this, it can be seen that the prediction accuracy of the method in this article is high and has high application value.