Prediction of Football Match Results in Turkish Super League Games

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dc.authorid0000-0003-4842-2635
dc.authorscopusid11539603200
dc.authorwosidTufekci, Pinar/ABA-5121-2020
dc.contributor.authorTüfekci, Pınar
dc.date.accessioned2022-05-11T14:15:49Z
dc.date.available2022-05-11T14:15:49Z
dc.date.issued2016
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description2nd International Afro-European Conference for Industrial Advancement (AECIA) -- SEP 09-11, 2015 -- Engn Sch Digital Sci, AllianSTIC Lab, Villejuif, FRANCE
dc.description.abstractThis paper presents a model that predicts the results (Home Win/Draw/Away Win) of the football matches played in the Turkish Super League, by using three machine learning classification methods, which are Support Vector Machines (SVMs), Bagging with REP Tree (BREP), and Random Forest (RF). The dataset used in this study includes the data of 70 features, which are composed of 69 input variables relating to statistical data of home and away teams, and a target variable in 1222 total football games in a 4-year period between 2009 and 2013. In connection, the most effective features of these input variables were determined as a reduced dataset by using some feature selection methods. The results showed that the match outcomes were predicted using the reduced dataset better than using the original dataset and the RF classifier produced the best result.
dc.description.sponsorshipTech Univ Ostrava, Dept Comp Sci, Univ Sfax, Res Grp Intelligent Machines
dc.identifier.doi10.1007/978-3-319-29504-6_48
dc.identifier.endpage526
dc.identifier.isbn978-3-319-29504-6
dc.identifier.isbn978-3-319-29503-9
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.scopus2-s2.0-84958280728
dc.identifier.scopusqualityN/A
dc.identifier.startpage515
dc.identifier.urihttps://doi.org/10.1007/978-3-319-29504-6_48
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6085
dc.identifier.volume427
dc.identifier.wosWOS:000371912400048
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTüfekci, Pınar
dc.language.isoen
dc.publisherSpringer-Verlag Berlin
dc.relation.ispartofProceedings of the Second International Afro-European Conference For Industrial Advancement (Aecia 2015)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectData mining
dc.subjectPrediction competitions
dc.subjectPrediction sports
dc.subjectScores
dc.subjectModel
dc.titlePrediction of Football Match Results in Turkish Super League Games
dc.typeConference Object

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