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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Autores principales: Maritza Mera-Gaona, Ursula Neumann, Rubiel Vargas-Canas, Diego M López
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/3daf46d89b7243449bebf01817ceea40
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