Sports analytics in the NFL: classifying the winner of the superbowl

DOI10.1007/S10479-022-05063-XOpenAlexW4309673833MaRDI QIDQ6170914

Yazan F. Roumani

Publication date: 13 July 2023

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-022-05063-x

zbMATH Keywords

data miningimbalanced datasports analyticsNFLsuperbowl

Mathematics Subject Classification ID

Statistics (62-XX) Artificial intelligence (68Txx) Nonparametric inference (62Gxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Classifying readmissions to a cardiac intensive care unit
• Training and assessing classification rules with imbalanced data
• A random forest guided tour
• Business failure prediction using decision trees
• The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review
• Exploring and modelling team performances of the Kaggle European Soccer database
• Predicting play calls in the National Football League using hidden Markov models

This page was built for publication: Sports analytics in the NFL: classifying the winner of the superbowl