Research on Leisure Sports Activities Based on Decision Tree Algorithm

Abstract

The study of competition pressure of athletes has been in the science circle for many years. However, computer science research as a coping strategy has not been involved in the past. Based on this, data mining was applied to the survey data of sports competition stress in this article. The basic theory of content-based recommendation algorithm was studied, including the idea of algorithm, algorithm description and algorithm implementation. Combining with the characteristics of the stressor data of sports competition, the algorithm was further improved from the perspective of similarity calculation and potential semantic analysis, and then the word frequency of the data was calculated to get the most similar suggestions, and the results obtained were analyzed.