Exploring polynomial classifier to predict match results in football championships
作者：
Highlights：
• We present an approach to identify the winning team based on the polynomial classifier.
• The investigated groups were win-draw, win-defeat and draw-defeat.
• The features were evaluated by machine learning methods and the POL algorithm.
• The proposed approach achieved an accuracy superior to 96.
• It proposes the use of the POL algorithm as a method for feature selection.
摘要
•We present an approach to identify the winning team based on the polynomial classifier.•The investigated groups were win-draw, win-defeat and draw-defeat.•The features were evaluated by machine learning methods and the POL algorithm.•The proposed approach achieved an accuracy superior to 96.•It proposes the use of the POL algorithm as a method for feature selection.
论文关键词：Polynomial classifier,Football championship,Prediction,Feature selection,Machine learning
论文评审过程：Received 8 October 2016, Revised 17 April 2017, Accepted 18 April 2017, Available online 19 April 2017, Version of Record 25 April 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.040
