The End Goal: Development of a Model Used to Forecast the Outcome of a Rugby Game Using Machine Learning Algorithms

Grant, Conor (2018) The End Goal: Development of a Model Used to Forecast the Outcome of a Rugby Game Using Machine Learning Algorithms. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

This report documents the approach taken by the researcher to complete the software project as part of the BSc (Honours) Computing program in the National College of Ireland. As part of the project, data will be gathered on teams competing in the Guinness Pro 14 Rugby competition and analysed in order to attempt to determine the winner.

The system for the analysis consists of a database for storing and analysing real data on statistics from every rugby match in the league, over the past two seasons. Machine learning algorithms such as K Nearest Neighbour, Naïve Bayes, Decision Trees, Random Forest and Neural Networks have been applied to the datasets to predict the outcome of the games, along with some statistical methods like time series analysis and multiple linear regression. These methods are applied to the data in RStudio and the results are visualised through the use of an interactive web application.

This document has been created in order to assist the reader in comprehending what will happen over the course of the year and also the approach taken to complete different milestones.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports
Divisions:	School of Computing > Bachelor of Science (Honours) in Computing
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	06 Nov 2018 17:00
Last Modified:	06 Nov 2018 17:00
URI:	https://norma.ncirl.ie/id/eprint/3460

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