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Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables

The selection of a descriptor, X, is crucial for improving the interpretation and prediction accuracy of a regression model. In this study, the prediction accuracy of models constructed using the selected X was determined and the results of variable selection, according to the number of selected X a...

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Detalles Bibliográficos
Autor principal: Kaneko, Hiromasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237311/
https://www.ncbi.nlm.nih.gov/pubmed/34195450
http://dx.doi.org/10.1016/j.heliyon.2021.e07356

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