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A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results Cover

A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results

International Journal of Computer Science in Sport
Volume 24 (2025): Issue 1 (February 2025)
By: Messaoud Bendiaf,  Hakima Khelifi,  Djamila Mohdeb,  Mouhoub Belazzoug and  Abdelhamid Saifi  
Open Access
|Mar 2025
DOI: https://doi.org/10.2478/ijcss-2025-0004 | Journal eISSN: 1684-4769
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Language: English
Page range: 56 - 72
Published on: Mar 19, 2025
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Football,
Machine Learning,
Multilayer Perceptron,
Feature Importance,
Shapley Additive Explanations (SHAP)
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2025 Messaoud Bendiaf, Hakima Khelifi, Djamila Mohdeb, Mouhoub Belazzoug, Abdelhamid Saifi, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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