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

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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Bibliographic Details
Main Authors: Samih M. Mostafa, Abdelrahman S. Eladimy, Safwat Hamad, Hirofumi Amano
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Bayesian ridge regression
imputation
gain ratio
missingness mechanisms
missing value
Online Access:https://ieeexplore.ieee.org/document/9277540/

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