Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms

Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms

Many datasets in statistical analyses contain missing values. As omitting observations containing missing entries may lead to information loss or greatly reduce the sample size, imputation is usually preferable. However, imputation can also introduce bias and impact the quality and validity of subse...

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Bibliographic Details
Main Authors: Philip Buczak, Jian-Jia Chen, Markus Pauly
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Entropy
Subjects:
missing values
imputation
MICE
missForest
classification
machine learning
Online Access:https://www.mdpi.com/1099-4300/25/3/521

Internet

https://www.mdpi.com/1099-4300/25/3/521

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