Predict the Game Analysis of Cricket Match Winning Using K-Nearest Neighbor and Compare Prediction Accuracy Over Support Vector Machine

Abstract

The primary goal of this research is to forecast game analysis utilising the Novel Support Vector Machine method, compare its performance to the KNN approach. Classification was carried out using the SVM algorithm (N=10) and the KNN method (N=10), and the outcomes were contrasted depending on the precision of the two methods. The usage of this work to implement Machine Learning for the SVM and KNN algorithms. The findings demonstrated that the Novel Support Vector Machine Algorithm outperformed the KNN Algorithm in terms of accuracy.