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An efficient machine learning approach for extracting eSports players’ distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross-validation

Crossref DOI link: https://doi.org/10.1007/s41060-024-00529-6

Published Online: 2024-03-27

Published Print: 2025-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Noroozi, Amin https://orcid.org/0000-0001-6937-6696
Hasan, Mohammad S.

Ravan, Maryam https://orcid.org/0000-0003-2055-9891
Norouzi, Elham

Law, Ying-Ying
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Text and Data Mining valid from 2024-03-27

Version of Record valid from 2024-03-27
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Article History

Received: 8 September 2023

Accepted: 26 February 2024

First Online: 27 March 2024

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

: The authors did not conduct any experiment involving human participants or animals and used a secondary dataset published in [].

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