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ExhauFS: exhaustive search-based feature selection for classification and survival regression
Feature selection is one of the main techniques used to prevent overfitting in machine learning applications. The most straightforward approach for feature selection is an exhaustive search: one can go over all possible feature combinations and pick up the model with the highest accuracy. This metho...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976470/ https://www.ncbi.nlm.nih.gov/pubmed/35378930 http://dx.doi.org/10.7717/peerj.13200 |