Predicting outcome of cricket matches using classification learners

Purkayastha, Vivek (2017) Predicting outcome of cricket matches using classification learners. Masters thesis, Dublin, National College of Ireland.

Preview

PDF (Master of Science) Download (1MB) | Preview

Abstract

Cricket is an outdoor sport played between two teams of eleven players each. It is one of the most followed game, with a world of riches on offer. The goal is to predict the outcome of a cricket match and improve upon the currently reported accuracy of the learners. The paper found feature engineering and attribute selection plays a significant part in improving the accuracy of the classifiers. Following learners: k-NN, Naive Bayes and Random forest classifiers were used. Each of the models recorded major performance improvement, with Random forest performing best with an accuracy of 84 %, closely followed by Naive Bayes at 83% and k-NN at 82%.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	28 Aug 2018 10:25
Last Modified:	28 Aug 2018 10:25
URI:	https://norma.ncirl.ie/id/eprint/3081

Actions (login required)

View Item