A Comparative Analysis Between Support Vector Machine and Linear Regression for Improving Accuracy of Medal Tally in Asian Games

Medal Prediction is a kind of art to predict the future champion with the aid of various past performing competitors. This prediction has so hard to find a world champion in terms of different categories of medals such as gold, silver, and bronze. The process and analysis function has efficiently evolved with the usage of Machine learning algorithms. Support Vector Machine (SVM) and Linear Regression (LR) are the best examples of deep machine learning approaches to improve the accuracy and efficacy of the proposed system. This proposed system has refined the accuracy difference between the SVM and LP with the high rate of datasets. The Global medal prediction has changed into more successful with the aid of two faces of machine learning processes. The various parameters of comparative studies have proven in an effective manner.