Web Based Adaptive Integration Method of College Students’ Comprehensive Quality Evaluation Data

In order to quantitatively analyze the comprehensive quality of college students, an adaptive integration method of college students’ comprehensive quality evaluation data based on Web is proposed. Build a Web network model to simulate the evaluation process of college students’ comprehensive quality and obtain quantitative evaluation data. After the evaluation data is cleaned and transformed, the random forest algorithm is used to determine the evaluation data type, and the adaptive integration result of the comprehensive quality evaluation data of college students is obtained. The experimental results show that the integrity coefficient of the integration results of the proposed method is about 0.047 higher than that of the comparison method, while the redundancy coefficient is reduced and the reliability coefficient is significantly improved. Applying it to the retrieval of evaluation data can effectively speed up the data retrieval.