Analysis and Performance Prediction Using Supervising Learning in Sports Event Data

It is evident that most of the human in the world watch sports and interested to play sports in the day to day life. Each of the subject will have different attitude in playing the sports and commenting on the respective as well. The selection of the sports candidate for each of the game is depends on the capability and history of a player. Now a days the candidate selection process is done by voting and other manual process, which tends to improper selection of players. To overcome the above problem, the prediction model is designed using the concept of machine learning. The model will identify the favourite game for the individual subject and how they are playing. To predict these features researchers face many problems in analysing the performance of the individual sports candidate. The experimental analysis follows the logistic regression model (LR) to show the results of prediction and it comparatively proves with other classification algorithms. The results and discussion shows major improvement in the F1 score of the proposed model.