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International Journal of Computer Science in Sport
Volume 24 (2025): Issue 1 (February 2025)
Open Access
A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results
Messaoud Bendiaf
Messaoud Bendiaf
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
Bordj Bou Arreridj, Algeria
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Bendiaf, Messaoud
,
Hakima Khelifi
Hakima Khelifi
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
Bordj Bou Arreridj, Algeria
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Khelifi, Hakima
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Djamila Mohdeb
Djamila Mohdeb
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
Bordj Bou Arreridj, Algeria
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Mohdeb, Djamila
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Mouhoub Belazzoug
Mouhoub Belazzoug
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
Bordj Bou Arreridj, Algeria
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Belazzoug, Mouhoub
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Abdelhamid Saifi
Abdelhamid Saifi
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
Bordj Bou Arreridj, Algeria
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Saifi, Abdelhamid
Mar 19, 2025
International Journal of Computer Science in Sport
Volume 24 (2025): Issue 1 (February 2025)
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Published Online:
Mar 19, 2025
Page range:
56 - 72
DOI:
https://doi.org/10.2478/ijcss-2025-0004
Keywords
Football
,
Machine Learning
,
Multilayer Perceptron
,
Feature Importance
,
Shapley Additive Explanations (SHAP)
© 2025 Messaoud Bendiaf et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
