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Leveraging Optimization Algorithms and Feature Selection to Predict Fashion Sustainability by Analyzing Random Forest and Decision Tree Models for Improved Classification Performance

Crossref DOI link: https://doi.org/10.1007/s42835-025-02555-1

Published Online: 2026-01-07

Published Print: 2026-05

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

Authors

Li, Dan

Zeng, Qingwan

Liu, Yongru
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Text and Data Mining valid from 2026-01-07

Version of Record valid from 2026-01-07
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Article History

Received: 20 April 2025

Revised: 2 November 2025

Accepted: 11 December 2025

First Online: 7 January 2026

Declarations

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: During the preparation of this work the authors used ChatGPT, version 4 in order to language editing and improving readability. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.

: The authors declare no competing interests.

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