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Predicting NSSI behavior of Chinese secondary vocational school students with different machine learning methods: Dealing with categorical data imbalance with a resampling technique

Crossref DOI link: https://doi.org/10.1007/s12144-025-07436-4

Published Online: 2025-02-03

Published Print: 2025-05

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

Authors

Wang, Jingqun

Wang, Anliang https://orcid.org/0009-0001-6053-6654
Xu, Mengdi

Chen, Lixia
Funding

Funding for this research was provided by:

National Education Planning Scientific Planning Commissioned Project (WBB240477)

2024 Research Results of the Ideological and Political Research Society of Higher Education Institutions in Jiangxi Province (XLJK24101)

Jiangxi Provincial Social Science “14th Five-Year” Fund Project (23JY05)

Humanities and Social Sciences Research Program for Universities in Jiangxi Province (XL22103)
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Text and Data Mining valid from 2025-02-03

Version of Record valid from 2025-02-03
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Article History

Accepted: 20 January 2025

First Online: 3 February 2025

Declarations

:

: All procedures performed involving human participants were performed in accordance with the ethical standards of the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study protocol was reviewed by the Ethics Committee of the Department of Psychology, Jiangxi Normal University. Informed consent was obtained from all individual participants included in the study or their legal guardians.

: The authors declare that they have no conflicts of interest.

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