Original paper
Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach
Volume: 18, Issue: 3, Pages: 100 - 124
Published: Dec 1, 2019
Abstract
In Australian football (AF), few studies have assessed combinations of pre- game factors and their relation to game outcomes (win/loss) in multivariable analyses. Further, previous research has mostly been confined to association-based linear approaches and post-game prediction, with limited assessment of predictive machine learning (ML) models in a pre-game setting. Therefore, our aim was to use ML techniques to predict game outcomes and...
Paper Details
Title
Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach
Published Date
Dec 1, 2019
Volume
18
Issue
3
Pages
100 - 124
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History