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12 January 2023 Competitive sports data analyzing model based on machine learning
Junyao Luo, Zihan Wang, Junyi Zhang
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Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 1250920 (2023) https://doi.org/10.1117/12.2656069
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China
Abstract
Machine learning is an important research area belonging to artificial intelligence technology. Machine learning has potent data processing and prediction ability. This paper uses machine learning to build a data analysis model and validate it with the NBA. This paper consists of two parts in total. The first part uses a clustering algorithm to analyze all teams' high-order data from 2000 to 2021 and classify the teams' styles. The main effect of using the k-means algorithm is to put the data in very different clusters, and in this paper the different clusters are considered to be the different team styles. At the same time, we can determine whether the style of the team has changed. We used the Euclidean distance as the distance formula for k-means. By the test of different k numbers, the result showed that between the numbers 2 to 9, the Silhouette Coefficient performed best when and second when. This paper used to measure the method that can be used to evaluate the influence of different algorithms or operating modes of algorithms on clustering results based on the same original data. For example, when k=2 and k=4. The experimental results show that the team styles in the NBA can be broadly classified into several categories over a long development period. The second part constructs a win prediction model based on the Elo method for the matchup data from 2020 to 2022. To sum up, in this paper, Elo ranking system, the Logistic regression model and three data sets are used to get a detailed prediction of the winning rate of NBA teams in 21-22 seasons.
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Junyao Luo, Zihan Wang, and Junyi Zhang "Competitive sports data analyzing model based on machine learning", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 1250920 (12 January 2023); https://doi.org/10.1117/12.2656069
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KEYWORDS
Data modeling
Epitaxial lateral overgrowth
Machine learning
Evolutionary algorithms
Analytical research
Binary data
Data analysis
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