Teaching Reform of Financial Management Major in Applied Undergraduate Based on Decision Tree Algorithm

With the continuous expansion of the enrollment scale of colleges and universities, the management of colleges and universities is becoming more and more difficult, and the corresponding data accumulation is also more and more. The key to the development of colleges and universities is to analyze the factors affecting the cultivation of students and improve the methods of students' training. According to the teaching data of colleges and universities, we can use the data mining technology to transform the existing teacher management data into useful information, and through data analysis to explore the internal factors affecting students' academic performance, so as to provide theoretical guidance for improving teaching methods. The results show that in order to improve the level of education and training in Colleges and universities, it is necessary to analyze the teaching quality of financial management course according to the needs of teaching. In order to optimize the course testing link, improve teaching methods and do a good job in teaching evaluation. We can guide the adjustment of students' cultural theory and practice courses through the analysis of students' performance data, and determine a reasonable student training program. This paper proposes to use decision tree algorithm to generate effective information to help managers to make decisions and financial budget management, so as to carry out experiments.