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A feature selection algorithm optimizing fitting and predictive performance of logistic regression: a case study on financial literacy and pension planning

Crossref DOI link: https://doi.org/10.1007/s10479-025-06970-5

Published Online: 2025-12-08

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

Authors

Simone, Rosaria https://orcid.org/0000-0002-6844-6418
Coppola, Mariarosaria https://orcid.org/0000-0003-1327-0547
Funding

Funding for this research was provided by:

Università degli Studi di Napoli Federico II
License Information

Text and Data Mining valid from 2025-12-08

Version of Record valid from 2025-12-08
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Article History

Received: 8 November 2024

Accepted: 19 November 2025

First Online: 8 December 2025

Declarations

:

: This article does not contain any studies with human participants or animals performed by any of the authors.

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