RETRACTED ARTICLE: Geochemical characteristics of South China Sea based on random forest algorithm and Wushu teaching action simulation

Abstract

With the development of information technology, random forest algorithm has become one of the most widely used mining algorithms with its high classification accuracy. The classification performance of traditional random forest algorithm in the medical field is significantly reduced, and it will take longer to build multiple decision trees of random forest itself. In this paper, the South China Sea is selected as the research area, the groundwater cold water and hot water in this area are comprehensively investigated, and the formation conditions and genetic mechanism of the groundwater hot water system are deeply analyzed. As a traditional national sport, Wushu teaching has a profound cultural heritage, which is essential to promote the physical and mental health of college students. In order to speed up the development of Wushu education in colleges and universities, the following measures are put forward: strengthen the construction of Wushu teachers; enrich the content of martial arts teaching action; strengthen the docking of theory and technology; and make full use of the latest teaching methods to improve the quality of education. As an important part of China’s education system, the rapid development of university education in recent years has provided China with a large number of high-quality workers and highly practical technical talents. It plays an important role in China’s economic construction and rapid social development. Therefore, this paper uses the random forest algorithm technology to study the geochemical characteristics of the South China Sea and the content of teaching action simulation. Based on the research of random forest algorithm, this paper applies it to the study of geochemical characteristics of the South China Sea and martial arts teaching action simulation, which promotes the better development of martial arts teaching.