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작성자 Rochell 작성일24-05-29 15:54 조회6회 댓글0건관련링크
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Martins et al. [34] employed MLP among other models to predict the winner of football matches in some leagues about the planet. They applied ten hidden stats in the education set which 70% of the dataset and 30% is the test set. The study covered matches from 2010 to 2015 and has reached an accuracy of 100% for MLP for some leagues. It is important to emphasize that the authors utilised goal as one of the options in the match outcome prediction as like in [30]. Rudrapal et al. [35] have also used MLP as a model to predict the outcome of football matches in the English Premier League. The authors considered three groups of functions namely, group-related, player-associated capabilities, and head-to-head match-associated functions to develop a machine-studying model for predicting match winners. The authors applied four various ML models namely, MLP, SVM, Gaussian Naive Bayes, and Random Forest for this objective. The study covered matches from 2000 to 2016, and the proposed final model based on MLP reached an accuracy of 73.6%.
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