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Stable variable ranking and selection in regularized logistic regression for severely imbalanced big binary data
We develop a novel covariate ranking and selection algorithm for regularized ordinary logistic regression (OLR) models in the presence of severe class-imbalance in high dimensional datasets with correlated signal and noise covariates. Class-imbalance is resolved using response-based subsampling whic...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844919/ https://www.ncbi.nlm.nih.gov/pubmed/36649281 http://dx.doi.org/10.1371/journal.pone.0280258 |