Metaheuristic-based data-level rebalancing for imbalanced binary classification: an empirical study
Abstract Imbalanced data classification remains a significant challenge in machine learning, as conventional learning algorithms are typically biased toward majority classes, often leading to poor recognition of minority instances. This limitation is particularly critical in binary classification ta...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Árabe |
| Publicado em: |
Springer Nature
2026-05-01
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| coleção: | Scientific Journal of King Faisal University: Basic and Applied Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44523-026-00005-9 |
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