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Using Machine Learning to Improve Audience Perceptions in the Sport of Cricket
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  • Mahwish Amjad,
  • Tariq Mahmood,
  • Khurram Nazir Junejo,
  • Waqar Ahmed,
  • Faisal Iradat
Mahwish Amjad
Institute of Business Administration, Karachi, Pakistan
Tariq Mahmood
Institute of Business Administration, Karachi, Pakistan
Author Profile
Khurram Nazir Junejo
Ibex Global, Karachi, Pakistan
Waqar Ahmed
Instituto Italiano di Technologia, Genova, Italy
Faisal Iradat
Institute of Business Administration, Karachi, Pakistan

Abstract

Cricket is the most popular game around the globe, particularly it breeds a high level of enthusiasm in Pakistani society. However, it is generally known and globally mentioned that Pakistan has an "unpredictable" cricket team, which leads to extreme reactions from the citizens in case of a loss, e.g., verbal anger, breaking of television sets and burning of players' effigies. In this paper, we use machine learning techniques to prove that such an extremist behavior and the use of "unpredictable" tag are both unjustified, and that Pakistan's performance can be reliably predicted with 82% confidence, and the Pakistani citizens needs to have more knowledge about the performance rather than behave dangerously on personal random predictions. Our contributions are a comprehensive machine learning methodology, which can be used to normalize the extreme reactions of public.