Duckworth-lewis-stern method comparison with machine learning approach
Department
Department of Computer Science
Was this content written or created while at IBA?
Yes
Document Type
Conference Paper
Publication Date
12-1-2019
Conference Name
Proceedings - 2019 International Conference on Frontiers of Information Technology, FIT 2019
Conference Location
Islamabad, Pakistan
Conference Dates
16-18 December 2019
ISBN/ISSN
85080113513 (Scopus)
First Page
197
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keywords
Cricket, Duckworth lewis-stern-method, Particle swarm optimization, Supervised learning, Unpredictability index
Abstract / Description
This work presents an analysis of the Duckworth-Lewis-Stern (DLS) method for One Day International (ODI) cricket matches. The accuracy of the DLS method is compared against various supervised learning algorithms for result prediction. The result of a cricket match is predicted during the second inning. The paper also optimized DLS resource table which is used in the Duckworth-Lewis (D/L) formula to increase its predictive power. Finally, an Unpredictability Index is developed that ranks different cricket playing nations according to how unpredictable they are while playing an ODI match.
DOI
https://doi.org/10.1109/FIT47737.2019.00045
Recommended Citation
Abbas, K., & Haider, S. (2019). Duckworth-lewis-stern method comparison with machine learning approach., 197. https://doi.org/10.1109/FIT47737.2019.00045