Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparing machine learning and ensemble learning in the field of football Subject The topic of the resource Decision trees; Ensemble learning; Prescision; Support vector machines; XGBoost Description An account of the resource Football has been one of the most popular and loved sports since its birth on November 6th, 1869. The main reason for this is because it is highly unpredictable in nature. Predicting football matches results seems like the perfect problem for machine learning models. But there are various caveats such as picking the right features from an enormous number of available features. There have been many models which have been applied to various football-related datasets. This paper aims to compare Support Vector Machines a machine learning model and XGBoost an Ensemble learning model and how Ensemble Learning can greatly improve the accuracy of the predictions. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Khan S.; Kirubanand V.B. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 4321-4325. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v9i5.pp4321-4325" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v9i5.pp4321-4325</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067626731&amp;doi=10.11591%2Fijece.v9i5.pp4321-4325&amp;partnerID=40&amp;md5=27076f34d35c23322221fc469d6012fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067626731&amp;doi=10.11591%2fijece.v9i5.pp4321-4325&amp;partnerID=40&amp;md5=27076f34d35c23322221fc469d6012fd</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Khan S., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Main Road, Bengaluru, Karnataka, 560029, India; Kirubanand V.B., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Main Road, Bengaluru, Karnataka, 560029, India