Empirical Comparisons for Combining Balancing and Feature Selection Strategies for Characterizing Football Players Using FIFA Video Game System

Empirical Comparisons for Combining Balancing and Feature Selection Strategies for Characterizing Football Players Using FIFA Video Game System

The process of modelling individual player performance using machine learning is a mature task in sports analytics. The most significant challenges in machine learning include class imbalance and high dimensionality problems. We conducted a comprehensive literature review and observed that both the...

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Bibliographic Details
Main Authors: Mustafa A. Al-Asadi, Sakir Tasdemir
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Class imbalance
data mining
data sampling
feature selection
FIFA video game
player characterizing
Online Access:https://ieeexplore.ieee.org/document/9598823/

Internet

https://ieeexplore.ieee.org/document/9598823/

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