Evaluation and Analysis of Data Mining Techniques to Predict the Winner of Indian Premier League

Cricket is a popular sport in India as well as the rest of the world. In recent years, the T-20 variation of this game has grown in popularity. The Indian Premier League (IPL), a tournament based on this structure, has risen dramatically in recent years. On the other hand, Cricket is known as the game of chance. Fans and followers are also concerned with predicting the victor of a tournament or match. Technology, on the other hand, is rapidly changing. After training a model, researchers alwa ys turn to data mining algorithms to predict something. So, in this research, we use various supervised learning approaches to predict the winners of Indian Premier League matches. We have the following attributes in this system: team names, match venue, toss winner, toss decision, match winner, won by how many runs, and umpires present for the match. Decision trees, Random Tree, Naive Bayes, KNN and ENHALGO are examples of supervised techniques utilized in this research.