An ensemble based Genetic Programming system to predict English football premier league games

Tianxiang Cui, Jingpeng Li, John R. Woodward, Andrew J. Parkes

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Predicting the result of a football game is challenging due to the complexity and uncertainties of many possible influencing factors involved. Genetic Programming (GP) has been shown to be very successful at evolving novel and unexpected ways of solving problems. In this work, we apply GP to the problem of predicting the outcomes of English Premier League games with the result being either win, lose or draw. We select 25 features from each game as the inputs to our GP system, which will then generate a function to predict the result. The experimental test on the prediction accuracy of a single GP-generated function is promising. One advantage of our GP system is, by implementing different runs or using different settings, it can generate as many high quality functions as we want. It has been showed that combining the decisions of a number of classifiers can provide better results than a single one. In this work, we combine 43 different GP-generated functions together and achieve significantly improved system performance.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
PublisherIEEE Computer Society
Pages138-143
Number of pages6
ISBN (Print)9781467358552
DOIs
Publication statusPublished - 2013
Event2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
Duration: 16 Apr 201319 Apr 2013

Publication series

NameProceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Conference

Conference2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Country/TerritorySingapore
CitySingapore
Period16/04/1319/04/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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