Prediction and Analysis of College Students' Sports Achievements Based on Support Vector Machine and Particle Swarm Optimization

Abstract

In order to scientifically evaluate college students' physical fitness, a prediction model of sports performance based on machine learning algorithm is proposed. This paper analyses the current situation of College Students' sports achievement prediction, points out the reasons that lead to the low prediction accuracy of the current model, establishes the prediction model of College Students' sports achievement by using machine learning algorithm-support vector machine, and uses particle swarm optimization algorithm to select model parameters. Finally, the model is applied to the sports achievement modeling and prediction of a university. The application results show that the machine learning algorithm can overcome the shortcomings of the traditional model and improve the prediction effect of College Students' sports performance.