Machine Learning Based Missing Data Imputation in Categorical Datasets

In order to predict and fill in the gaps in categorical datasets, this research looked into the use of machine learning algorithms. The emphasis was on ensemble models constructed using the Error Correction Output Codes (ECOC) framework, including models based on SVM and KNN as well as a hybrid clas...

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Bibliografiske detaljer

Principais autores:	Muhammad Ishaq, Sana Zahir, Laila Iftikhar, Mohammad Farhad Bulbul, Seungmin Rho, Mi Young Lee
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Data cleansing missing data imputation classification regression and categorical datasets
Online adgang:	https://ieeexplore.ieee.org/document/10552230/
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