Comparative analysis of imputation methods for enhancing predictive accuracy in data models

The presence of missing values within datasets can introduce a detrimental bias, significantly impeding the predictive algorithm's ability to discern patterns and accurately execute prediction. This paper aims to elucidate the intricacies of data imputation methods, providing a more profound un...

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Bibliographic Details
Main Authors: Nurul Aqilah, Zamri, Mohd Izham, Mohd Jaya, Irawati, Indrarini Dyah, Rassem, Taha H., Rasyidah, ., Shahreen, Kasim
Format: Article
Language:English
Published: Politeknik Negeri Padang 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42748/1/Comparative%20analysis%20of%20imputation%20methods%20for%20enhancing%20predictive%20accuracy%20in%20data%20models.pdf

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