Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
School of Electronics and Computer Science, University of Southampton（南安普顿大学电子与计算机科学学院）
英文摘要：
In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer). By doing so we give a baseline for the prediction accuracy that can be achieved exploiting both statistical match data and contextual articles from human sports journalists. Our dataset is focuses on a representative time-period over 6 seasons of the English Premier League, and includes newspaper match previews from The Guardian. The models presented in this paper achieve an accuracy of 63.18% showing a 6.9% boost on the traditional statistical methods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
