The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks

The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks

Indonesia's maternal mortality rate was the second highest in ASEAN, reflecting the problem of class imbalance in maternal health data. This research aimed to improve prediction accuracy in the classification of pregnant women's diseases through the application of various resampling method...

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Bibliographic Details
Main Authors: Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-08-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
class imbalance
resampling methods
classification algorithms
maternal health
prediction accuracy
machine learning
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/5934
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