Welcome to Francis Academic Press

Frontiers in Sport Research, 2024, 6(3); doi: 10.25236/FSR.2024.060308.

Research on the prediction of security fitness scale for large sports events based on machine learning algorithms


Yuanning Li, Minghui Song, Xiaojun Wang

Corresponding Author:
Xiaojun Wang

Department of Physical Education, Yanshan University, Qinhuangdao, China


Security is an important factor for the success of the event. In the context of new quality productivity, science and technology will continuously improve the iteration rate of productivity, and machine learning algorithms are applied to the prediction of security scale of large-scale sports events to realize the dual goals of economic and safe events. In this study, three machine learning algorithms, namely, convolutional neural network, multilayer perceptual machine and decision tree algorithm, are used to predict the security scale of the seven Summer Olympic Games from 1996 to 2021 (variables such as security expenditure, total number of security personnel, and crime rate of the host country in the past five years). The results of the study show that the decision tree algorithm fits the true and predicted values of the security scale analysis better than the other two algorithms, and the weights of the model are more accurate within the margin of error. In the prediction and analysis of security scale of large-scale sports events, the application of decision tree algorithm can efficiently and accurately provide scientific and accurate theoretical basis for the pre-planning of security work, and also provide empirical reference.


major sporting events; machine learing algorithms; security; fitness for scale

Cite This Paper

Yuanning Li, Minghui Song, Xiaojun Wang. Research on the prediction of security fitness scale for large sports events based on machine learning algorithms. Frontiers in Sport Research (2024) Vol. 6, Issue 3: 61-69. https://doi.org/10.25236/FSR.2024.060308.


[1] Xiao Feng, Shen Jianhua. Research on safety prevention of large-scale sports events[J]. Sports Culture Guide, 2007(08):52-56.

[2] Li Bin. Lessons learnt and inspiration from the Tokyo Olympic Games[J]. Hangzhou, 2022 (02): 38-43.

[3] Lv Jingjing, Song Na,Guo Qing. Construction of risk communication assessment model for large-scale sports events[J]. Journal of Wuhan Institute of Physical Education,2023,57(03):21-28.

[4] Pu Biwen, Jia Hong. Structural equation model construction and empirical research on risk assessment of large sports events[J]. China Sports Science and Technology,2018,54(02):51-58.

[5] Su Ronghai, Niu Daoheng, Zhang Wulong. Risk assessment of safety accidents in large sports events [J]. Journal of Beijing Normal University(Natural Science Edition),2017,53(04):499-504.

[6] Zhu Dexu. Assessment and Response to Security Risks of Large-Scale Sporting Events--Taking the Security of American Sporting Events as an Example[J]. Public Security Education,2023(01):72-75.