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...
Main Authors: | Nurul Aqilah, Zamri, Mohd Izham, Mohd Jaya, Irawati, Indrarini Dyah, Rassem, Taha H., Rasyidah, ., Shahreen, Kasim |
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Format: | Article |
Language: | English |
Published: |
Politeknik Negeri Padang
2024
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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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