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Beat the Streak

2020Documento de conferência Acesso aberto
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dc.contributor.authorAlceo, Pedro
dc.contributor.authorHenriques, Roberto
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.date.accessioned2022-08-01T22:14:47Z
dc.date.available2022-08-01T22:14:47Z
dc.date.issued2020
dc.descriptionAlceo, P., & Henriques, R. (2020). Beat the Streak: Prediction of MLB Base Hits Using Machine Learning. In A. Fred, A. Fred, A. Salgado, D. Aveiro, J. Dietz, J. Bernardino, & J. Filipe (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management: 11th International Joint Conference, IC3K 2019, Revised Selected Papers (pp. 108-133). (Communications in Computer and Information Science; Vol. 1297). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-66196-0_6
dc.description.abstractAs the world of sports expands to never seen levels, so does the necessity for tools that provided material advantages for organizations and stakeholders. The objective of this project is to develop a predictive model capable of predicting the odds a baseball player has to achieve a base hit on a given day. After that, using this information to both have a fair shot at winning the game Beat the Streak and providing valuable insights to the coaching staff. This project builds upon the work developed previously in Alceo and Henriques (2019), adding a full season of data, emphasizing new strategies, and displaying more data visualization content. The results achieved on the new season are aligned with the previous work where the best model, a Multi-layer Perceptron, developed in Python achieved an 81% correct pick ratio.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent26
dc.format.extent1912669
dc.identifier.doi10.1007/978-3-030-66196-0_6
dc.identifier.isbn9783030661953
dc.identifier.issn1865-0929
dc.identifier.otherPURE: 28647195
dc.identifier.otherPURE UUID: 599b564d-ed41-48e7-b1ee-e6512a775f2b
dc.identifier.otherScopus: 85101571399
dc.identifier.otherORCID: /0000-0002-4862-8177/work/152174868
dc.identifier.urihttp://hdl.handle.net/10362/142740
dc.identifier.urlhttps://www.scopus.com/pages/publications/85101571399
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.subjectBaseball
dc.subjectClassification model
dc.subjectData mining
dc.subjectMachine learning
dc.subjectMLB
dc.subjectPredictive analysis
dc.subjectGeneral Computer Science
dc.subjectGeneral Mathematics
dc.titleBeat the Streaken
dc.title.subtitlePrediction of MLB Base Hits Using Machine Learningen
dc.typeconference object
degois.publication.firstPage108
degois.publication.lastPage133
degois.publication.titleKnowledge Discovery, Knowledge Engineering and Knowledge Management
degois.publication.title11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019
dspace.entity.typePublication
rcaap.rightsopenAccess

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