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

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:
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/42748/
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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