Study on the Evaluation of Exercise Effect in Physical Education Teaching under the Application of Random Forest Model

Abstract

Physical education is a school-based topic that emphasizes the development of physical fitness and the capacity to do and enjoy everyday physical activities. Children also get the skills they need to participate in a wide range of activities. Engaging classes, skilled P.E. teachers, proper instructional hours, and student evaluation should all be part of an effective physical education program. The basics of physical education start with exercises. A remarkable change can be observed when individuals practice exercises in their physical education. In this research work, exercise requirement in physical education teaching is analyzed under students of certain groups under different dimensions. The work analysis is performed by implementing a random forest algorithm and comparison with the support vector machine and fuzzy set based on hesitation algorithms. The performance is evaluated based on teaching and learning, evaluation, and exercises with the support of all the equipment. In all these categories, the proposed random forest algorithm has achieved 98%, 98%, and 43%, respectively.