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undergraduate thesis
Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:260272
Borovčak, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Borovčak, K. (2023). Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:260272

Borovčak, Karlo. "Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:260272

Borovčak, Karlo. "Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:260272

Borovčak, K. (2023). 'Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:260272

Borovčak K. Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:260272

K. Borovčak, "Predviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:260272

Metadata
TitlePredviđanje ishoda NCAA košarkaškog turnira metodama strojnog učenja
Title (english)Predicting the Outcome of NCAA Basketball Tournament using Machine Learning
AuthorKarlo Borovčak
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
Committee memberKristijan Poje (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad istražuje primjenu tehnika strojnog učenja za predviđanje ishoda NCAA košarkaškog turnira. Istraživanje se fokusira na tri popularna algoritma, točnije logističku regresiju, metodu potpornih vektora (SVM) i XGBoost, uspoređujući njihovu uspješnost u predviđanju rezultata turnira. Dodatno, koriste se tehnike grupiranja momčadi prema njihovim karakteristikama, s ciljem poboljšanja točnosti predviđanja ishoda turnira. Korišteni su povijesno podaci turnira i procjenjuje prediktivne sposobnosti modela kroz različite metrike performansi. Modeli trenirani prema statistikama momčadi uspoređeni su s modelima trenirani prema grupama momčadi.
Abstract (english)
This thesis explores the application of machine learning techniques to predict the outcome of the NCAA basketball tournament. It is centered around three widely used algorithms, logistic regression, support vector machines (SVM), and XGBoost. The objective is to assess their effectiveness in forecasting tournament outcomes by comparing their performance. Additionally, team clustering techniques are employed to group teams based on their characteristics, aiming to enhance the accuracy of bracket predictions. The experiment utilizes historical tournament data and evaluates the models' predictive abilities through accuracy and bracket score. Models trained on classic features are compared to the ones trained on team clusters.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:260272
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-07-13 09:57:50