An efficient framework for improving accuracy in sports analysis using logistic regression algorithm compared with naive bayes algorithm

To improve the precision level of sports examination utilizing the Logistic Regression calculation and its exhibition is contrasted with the Naive Bayes calculation. Sports investigation was finished utilizing Naive Bayes with test size=10 and Logistic Regression calculation with test size=10 with 95% certainty span and pretest force of 80% was iterated at various times for anticipating the precision level of sports treatment of Football. The Logistic Regression calculation (91.87%) seemed to perform better compared to the Naive Bayes calculation (76.23%). The factual importance contrast 0.01 (p