Evaluating the impact of multivariate imputation by MICE in feature selection

Handling missing values is a crucial step in preprocessing data in Machine Learning. Most available algorithms for analyzing datasets in the feature selection process and classification or estimation process analyze complete datasets. Consequently, in many cases, the strategy for dealing with missin...

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Detalles Bibliográficos
Autores principales: Mera-Gaona, Maritza, Neumann, Ursula, Vargas-Canas, Rubiel, López, Diego M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318311/
https://www.ncbi.nlm.nih.gov/pubmed/34320016
http://dx.doi.org/10.1371/journal.pone.0254720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318311/
https://www.ncbi.nlm.nih.gov/pubmed/34320016
http://dx.doi.org/10.1371/journal.pone.0254720

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