ODI Cricket Winning Team Prediction by Finding the Best Accuracy based on Machine Learning Classification

Authors

  • R. Guna Sekar
  • P. Shanmuga Prabha

Abstract

Lately, AI has been generally utilized in identification and accomplished ideal execution. Cricket is one of the most well-known group games on the planet. Cricket is the second most watched game on the planet after soccer, and appreciates a multi-million dollar industry. With the coming of measurable demonstrating in sports, foreseeing the result of a game has been set up as a central issue. The intricate principles winning in the game, alongside the different characteristic parameters influencing the result of a cricket coordinate present noteworthy difficulties for exact expectation. The point is to research AI based methods for winning group determining by expectation brings about best exactness. Because of the way toward putting away colossal measure of information we'll be utilizing Big Data Technology with the investigation done utilizing the Hadoop biological system for quicker access and exact outcomes. The investigation of dataset by regulated AI technique (SMLT) to catch a few data resembles variable recognizable proof, uni-variate examination, bi-variate and multi-variate investigation, missing worth medications and break down the information approval, information cleaning/planning and information perception will be done on the whole given dataset. Our examination gives a far reaching manual for affectability investigation of model parameters as to execution in forecast of winning group or not by precision count. Also, to analyze and examine the presentation of different AI calculations from the given dataset with GUI based assessment of order report, recognizes the perplexity grid and to arranging information from need and the outcome shows that the adequacy of the proposed AI calculation strategy can be contrasted and best exactness with accuracy, Recall and F1 Score. 

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Published

2020-01-12

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Section

Articles