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Modelling the Elapsed Time between Two Events in a Basketball Game

Luka Mavrič (2018) Modelling the Elapsed Time between Two Events in a Basketball Game. EngD thesis.

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    In this thesis, the problem of predicting the elapsed time between two events in a basketball game is researched. First, our input data consisting of combinations of events in chronological order is studied, and then, the data is prepared and transformed so that it becomes better suited for machine learning. The elapsed time is predicted with the help of linear regression, regression trees and neural networks. For each algorithm, a short description is created; further, the best combination of independent variables and other parameters is found and finally, the best model is presented. To conclude, the best models of the utilized machine learning methods are compared. The best results were achieved by neural networks, while linear regression, as expected, proved to be the worst. Finally, the findings are presented and a few suggestions for improvements are added.

    Item Type: Thesis (EngD thesis)
    Keywords: basketball, prediction of the elapsed time, linear regression, regression trees, neural networks
    Number of Pages: 60
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Igor Kononenko237Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537709763)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4055
    Date Deposited: 02 Feb 2018 15:30
    Last Modified: 09 Feb 2018 13:10
    URI: http://eprints.fri.uni-lj.si/id/eprint/4055

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