Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods

The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification accuracy negatively. To address this challenge, we introduce the use of Support Vector Machine (SVM) regression for imputing the missing valu...

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Bibliographic Details
Main Authors: Ashokkumar Palanivinayagam, Robertas Damaševičius
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/14/2/92