In today’s society, the goal of higher education has shifted from simple knowledge teaching to cultivating the comprehensive quality of college students. The comprehensive quality of college students not only includes academic ability, but also covers moral quality, teamwork, innovative thinking, social practice and other aspects. However, due to the limited university educational resources and the individual differences of students, the traditional evaluation methods are often difficult to comprehensively and accurately reflect the comprehensive quality of college students. Therefore, the establishment of a scientific and objective evaluation system, as well as an early warning system combined with modern technology, has far-reaching significance for the timely detection of potential problems in students, optimizing the allocation of educational resources and improving the quality of education MATLAB simulation shows that under certain evaluation criteria, machine learning has the accuracy of comprehensive quality assessment of college students’ comprehensive education The time required for comprehensive quality assessment is better than that of traditional assessment methods.