International Society of Science and Applied Technologies |
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Predicting Win-Loss of League of Legends at the Start of the Game Using Machine Learning Techniques | ||||
Author | Cheolgi Kim
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Co-Author(s) | Soowon Lee
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Abstract | E-sports is not only a simple game that individuals enjoy but also a world-class sport that is adopted as a demonstration sport in the 2018 Asian Games. The League of Legends is one of the e-sports games. In this paper, we propose a win-loss prediction model of League of Legends at the start of the game using machine learning techniques. The prediction accuracy of 60.25% was obtained experimentally with the artificial neural network model. By using the prediction model proposed in this paper, it is expected that the team-based strategy can be established in choosing a champion at the start of the game.
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Keywords | Machine Learning, Data Mining, Neural Network, League of Legends, E-sports, win-loss prediction | |||
Article #: DSBFI19-28 |
July 3-5, 2019 - Da Nang, Vietnam |