Categorical variable encoding methods for tabular data: a benchmarking study
Crossref DOI link: https://doi.org/10.1007/s41060-025-00886-w
Published Online: 2026-02-04
Published Print: 2026-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Clerici, Federico
Nobani, Navid
Text and Data Mining valid from 2026-02-04
Version of Record valid from 2026-02-04
Article History
Received: 30 June 2025
Accepted: 7 November 2025
First Online: 4 February 2026
Declarations
:
: The authors declare no conflict of interest.