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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.

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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 Ni Mhaicin
Date Deposited: 28 Aug 2018 10:25
Last Modified: 28 Aug 2018 10:25

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