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...

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Detalles Bibliográficos
Autores principales: Nersisyan, Stepan, Novosad, Victor, Galatenko, Alexei, Sokolov, Andrey, Bokov, Grigoriy, Konovalov, Alexander, Alekseev, Dmitry, Tonevitsky, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Bioinformatics
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

Internet

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

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