Abstract: Cricket is huge in India, and the Indian Premier League (IPL) is a major cricket tournament that draws players from all over the world. Predicting IPL match outcomes is important for online traders and sponsors. We can do this by looking at various factors like the players' skills, team performance, and match conditions. In our research paper, we proposed using machine learning (ML) algorithms like SVM, Random Forest, Logistic Regression, and K-Nearest Neighbor to predict IPL match outcomes. This research shows that ML techniques can effectively predict IPL match outcomes. As cricket evolves, using advanced technologies like ML for predictions not only makes the game more exciting for fans but also helps teams and stakeholders make better decisions. Our model is a step forward in using ML to understand T Twenty cricket better.
Keywords: Indian Premier League(IPL), Linear Regression,Ridge Regression, Lasso Regression, Machine Learning, IPL Score Prediction.
|
DOI:
10.17148/IJARCCE.2024.134144
