CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio

Existing imputation methods may lead to biased predictions and decrease or increase the statistical influence which leads to improper estimations. Several missing value imputation approaches performance depends on the size of the dataset and the number of missing values within the dataset. In this w...

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Detalles Bibliográficos

Principais autores:	Samih M. Mostafa, Abdelrahman S. Eladimy, Safwat Hamad, Hirofumi Amano
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2020-01-01
Series:	IEEE Access
Assuntos:	Bayesian ridge regression imputation gain ratio missingness mechanisms missing value
Acceso en liña:	https://ieeexplore.ieee.org/document/9277540/
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