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An empirical evaluation of sampling methods for the classification of imbalanced data
In numerous classification problems, class distribution is not balanced. For example, positive examples are rare in the fields of disease diagnosis and credit card fraud detection. General machine learning methods are known to be suboptimal for such imbalanced classification. One popular solution is...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333262/ https://www.ncbi.nlm.nih.gov/pubmed/35901023 http://dx.doi.org/10.1371/journal.pone.0271260 |