IPL Score Prediction Using Random Forest

DOI

10.2991/978-94-6463-858-5_101How to use a DOI?

Keywords

IPL Score Prediction; Machine Learning; Random Forest; Sports Analytics; Cricket Strategies; Match Analysis; Real-Time Predictions

Abstract

This research project focuses on the development and implementation of an advanced automated system designed for predicting Indian Premier League (IPL) match scores using machine learning techniques, specifically employing the Random Forest algorithm. The objective is to streamline and enhance score prediction accuracy by leveraging robust statistical and historical data analysis, eliminating the need for complex computations or intricate model training procedures. The system harnesses the power of Random Forest’s ensemble learning to deliver precise and reliable predictions of match scores.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - B. Naveen Kumar
AU  - K. Mallik Raj
AU  - P. Uday Kumar
AU  - Ch. Gopi Reddy
AU  - Md. Zia Azeem
PY  - 2025
DA  - 2025/11/04
TI  - IPL Score Prediction Using Random Forest
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1214
EP  - 1223
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_101
DO  - 10.2991/978-94-6463-858-5_101
ID  - Kumar2025
ER  -