The Application of Improved Decision Tree Algorithm in College Employment Management

The role of employment guidance in employment management is very important, but there is a problem of inaccurate outcome evaluation. The didactic teaching model cannot solve the problem of employment guidance in employment management, and the evaluation is unreasonable. Therefore, this paper proposes an improved decision tree method to optimize employment guidance analysis. First, the multiple intelligence theory is used to evaluate students, and the indicators are divided according to the requirements of employment guidance to reduce employment guidance in the interfering factor. Then, the multiple intelligence theory optimizes the employment guidance for students, forms the employment guidance program, and conducts the employment guidance results Comprehensive analysis. MATLAB simulation shows that under the condition of certain evaluation criteria, the employment rate and internship rate of improved decision tree method for students' career guidance are improved All are superior to the didactic teaching mode.