Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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Wining Rate Prediction of Game League of Legends

Authors
Jianxun Zhao1, *
1Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
*Corresponding author. Email: 1811020207@stu.hrbust.edu.cn
Corresponding Author
Jianxun Zhao
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_75How to use a DOI?
Keywords
Deep Neural Network; Wining Rate Prediction; Video Game; Particle Swarm Optimization
Abstract

Currently, machine learning is widely used to predict the winning rate of various games. As one of the most popular games among young people, predicting League of Legends is significant for both the players and the game. In order to identify the factors that affect game results, and predict the wining rate of each team, this study introduced Particle Swarm Optimization method to the Random Forest algorithm. This method is named PSO-Random Forest algorithm, which allows automatic and precise parameters optimizing. Besides, five other algorithms were deployed in the experiment as the baseline. For the prediction of the wining rate, experiment shows that the proposed method is effective. PSO-Random Forest algorithm achieved the highest accuracy, reached an accuracy of 0.7479, exceeding other baseline algorithms. This study revealed the main factor that affects the wining of game LOL and introduced PSO method to Random Forest algorithm to find the optimal parameters.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_75How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jianxun Zhao
PY  - 2024
DA  - 2024/09/23
TI  - Wining Rate Prediction of Game League of Legends
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 711
EP  - 720
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_75
DO  - 10.2991/978-94-6463-512-6_75
ID  - Zhao2024
ER  -