Gaming Prediction Analysis Using Hybrid Chi Square - Support Vector Machine Model and Historical Data
Keywords:
Fuzzy Logic, Prediction Analysis, Support Vector Machine, National Basket Ball Association, Chi-SquareAbstract
Data Science is a powerful domain that helps in extracting information from a given dataset for giving useful information. Prediction Analysis is also a part of Data Science which uses scientific techniques for determining the prediction results with a given set of input data. Gaming Prediction is an exciting field and lot of researches are being performed on this to determine factors of improvement in terms of player performance, management of matches and imparting a good understanding to Guides, Sponsors and the Players. They also aim the high accuracy of results and have proved fruitful but still includes lot of more advancements in the techniques utilized. This paper has utilized the benefit of advanced algorithm which does a primary feature selection in Basketball Matches which is followed by developing fuzzy rules to check the impact of these features of final result. Finally, Support Vector Machine Technique is employed to determine the Accuracy of Prediction Logic obtained.
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