Application of ID3 Decision Tree Classification Algorithm in Mathematical data Analysis

ID3 decision tree is the most extensive method. It can be used to classify, identify and predict data information, and the whole system can be divided into several stages according to its nature. It plays an important role in mathematical data analysis. Therefore, based on ID3 decision classification algorithm, this paper studies mathematical data analysis. This paper firstly introduces the decision tree classification algorithm, and paper expounds the ID3 decision tree classification algorithm in data analysis, the application of mathematics algorithm in the application of mathematical data analysis process is introduced, and the performance of ID3 decision tree classification algorithm was tested. Finally, the test results show that for a high-resolution decision tree, if the traditional method is used for classification, it will increase the amount of calculation and time. When the ID3 decision number algorithm is used to improve the model, it can effectively improve the decision accuracy. The mathematical data analysis time based on the ID3 decision number algorithm increases with the increase of the number of data. However, the overall time is within 1-4 seconds, and at the same time, the classification accuracy is more than 93%, which shows that the performance of the algorithm is good.