IPL Match Prediction using Machine Learning

  • Sunil Bhutada, Subhani Shaik, Aishwarya Laxmi Nethi, Pabba Adeeshwar, Sairam Parshi

Abstract

Cricket, the mainstream and widely played sport across India which has the most noteworthy fan base. Indian Premier League follows 20-20 format which is very unpredictable. IPL match predictor is a ML based prediction approach where the data sets and previous stats are trained in all dimensions covering all important factors such as:  Toss, Home Ground, Captains, Favourite Players, Opposition Battle, Previous Stats etc, with each factor having different strength with the help of KNIME Tool and with the added intelligence of Naive Bayes network and Eulers strength calculation formula.

Keywords: Naïve Bayes Classification, Eulers Strength Formula, Cricket Prediction, Supervised Learning, KNIME Tool.

Published
2020-04-27
How to Cite
Sunil Bhutada, Subhani Shaik, Aishwarya Laxmi Nethi, Pabba Adeeshwar, Sairam Parshi. (2020). IPL Match Prediction using Machine Learning. International Journal of Advanced Science and Technology, 29(05), 3438 - 3448. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/12036