Predictive Analysis of UFC Fights: Technical Report

Walsh, Gavin (2022) Predictive Analysis of UFC Fights: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

Within this report, all the major talking points in regards to this project are discussed which ranges from the reasons why predicting UFC fights was chosen and an insight into the background of the project. The technologies section will discuss the different technologies that were used to enhance this project such as RStudio acting as the main hub for the project as well as the R Language being used to incorporate the coding. There will be a data section in which will contain a detailed description of the data which will discuss how the data was discovered and also how the data was transformed for it to be in the best state possible. The main attributes involved in this data set will also be discussed and why it worked out and enhanced the project. Following this will be the methodology section in which the KDD Methodology will be discussed and will be detailed with each step of the method followed and explained closely. Next, the report will go in depth with the predictive analysis approach to the project and reasons why certain algorithms were chosen and singled out will be explained such as using a Neural Network. Hyperparameters will be a big talking point of the analysis section with how important they are to creating a good model. Following the analysis discussion, the results that had been gathered from the analysis of the data will be considered and these results will be displayed. Once the results that were retrieved are visible, following it up will be the evaluation of the results and how the results can be interpreted. Finally, the last point will be how the project could be improved with more time and knowledge gained with the subject.

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:	Clara Chan
Date Deposited:	15 Sep 2022 09:16
Last Modified:	15 Sep 2022 09:16
URI:	https://norma.ncirl.ie/id/eprint/5769

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