Прогнозування та аналіз результатів спортсменів в акробатичному рок-н-ролі з використанням методів машинного навчання

Abstract

This work is devoted to the analysis and prediction of athletes’ performance in acrobatic rock and roll using machine learning methods. The main factors influencing performance, such as technical execution, stability, and synchronization, are considered. Machine learning models, including neural networks, Random Forest, and Gradient Boosting, are applied. The accuracy of the models is evaluated using RMSE. It is shown that these methods allow predicting results and identifying key factors influencing performance.