The impact of feature scaling in machine learning: effects on regression and classification tasks (2025)
- Authors:
- USP affiliated authors: AMBROSIO, LEONARDO ANDRÉ - EESC ; BECKER, MARCELO - EESC ; SARAIVA, PEDRO ANTONIO RABELO - EESC ; SOUZA, ENZO FERREIRA DE - EESC ; PINHEIRO, JOÃO MANOEL HERRERA - EESC ; OLIVEIRA, SUZANA VILAS BOAS DE - EESC ; SILVA, THIAGO HENRIQUE SEGRETO - EESC
- Unidade: EESC
- DOI: 10.1109/ACCESS.2025.3635541
- Subjects: PROCESSAMENTO DE DADOS; ALGORITMOS; APRENDIZADO COMPUTACIONAL; NORMALIZAÇÃO; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2025
- Source:
- Título: IEEE Access
- ISSN: 2169-3536
- Volume/Número/Paginação/Ano: v. 13, p. 199903-199931, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PINHEIRO, João Manoel Herrera et al. The impact of feature scaling in machine learning: effects on regression and classification tasks. IEEE Access, v. 13, p. 199903-199931, 2025Tradução . . Disponível em: http://dx.doi.org/10.1109/ACCESS.2025.3635541. Acesso em: 19 fev. 2026. -
APA
Pinheiro, J. M. H., Oliveira, S. V. B. de, Silva, T. H. S., Saraiva, P. A. R., Souza, E. F. de, Godoy, R. V., et al. (2025). The impact of feature scaling in machine learning: effects on regression and classification tasks. IEEE Access, 13, 199903-199931. doi:10.1109/ACCESS.2025.3635541 -
NLM
Pinheiro JMH, Oliveira SVB de, Silva THS, Saraiva PAR, Souza EF de, Godoy RV, Ambrosio LA, Becker M. The impact of feature scaling in machine learning: effects on regression and classification tasks [Internet]. IEEE Access. 2025 ; 13 199903-199931.[citado 2026 fev. 19 ] Available from: http://dx.doi.org/10.1109/ACCESS.2025.3635541 -
Vancouver
Pinheiro JMH, Oliveira SVB de, Silva THS, Saraiva PAR, Souza EF de, Godoy RV, Ambrosio LA, Becker M. The impact of feature scaling in machine learning: effects on regression and classification tasks [Internet]. IEEE Access. 2025 ; 13 199903-199931.[citado 2026 fev. 19 ] Available from: http://dx.doi.org/10.1109/ACCESS.2025.3635541 - Breast cancer classification using gradient boosting algorithms focusing on reducing the false negative and SHAP for explainability
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Informações sobre o DOI: 10.1109/ACCESS.2025.3635541 (Fonte: oaDOI API)
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