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Conversion of adverse data corpus to shrewd output using sampling metrics
An imbalanced dataset is commonly found in at least one class, which are typically exceeded by the other ones. A machine learning algorithm (classifier) trained with an imbalanced dataset predicts the majority class (frequently occurring) more than the other minority classes (rarely occurring). Trai...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417470/ https://www.ncbi.nlm.nih.gov/pubmed/32779031 http://dx.doi.org/10.1186/s42492-020-00055-9 |