A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL Cover

.blurhash-client-img { display: none !important; }

A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL

International Journal of Computer Science in Sport

Volume 19 (2020): Issue 2 (December 2020)

By: Ryan Beal, Timothy J. Norman and Sarvapali D. Ramchurn

Open Access

|Dec 2020

Download Article

Download the full article as a PDF file.

DOI: https://doi.org/10.2478/ijcss-2020-0009 | Journal eISSN: 1684-4769

Journal RSS Feed

Language: English

Page range: 36 - 50

Published on: Dec 31, 2020

Published by: International Association of Computer Science in Sport

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

MACHINE LEARNING,

SUPERVISED LEARNING,

Related subjects:

Computer sciences,

Databases and data mining,

Computer sciences, other,

Sports and recreation,

Physical education,

Sports and recreation, other

© 2020 Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous article Volume 19 (2020): Issue 2 (December 2020)Next article