Modeling and Analysis of Students' Sports Training Efficiency Based on Supervised Learning and Nonparametric Random Forest Model

Abstract

With the steady development of China's education, education is gradually developing to the
concept of quality education. Compared with other models, nonparametric random forest
method is often better than the benchmark logical model and SVC model. Therefore,
nonparametric random forest method is often used in data analysis. This makes the form of
physical education has also changed a lot. In order to effectively improve the quality and
efficiency of sports training in physical education classroom, and enhance the enthusiasm and
initiative of students to participate in sports training, this paper studies the modeling analysis of
students' sports training efficiency based on supervised learning. This paper makes a
comprehensive analysis of the importance of sports training in the current physical education
classroom and formulates reasonable teaching strategies Sports training is highly professional
and has high requirements for training methods. This paper focuses on how to choose the
appropriate training strategy to optimize the sports training plan and help athletes achieve
training objectives. This paper also analyzes how to improve the effect of sports training, in
order to provide some reference for the construction and development of students' sports
classroom.