Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets

Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets

This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance. Class imbalance is a common problem in machine learning that can cause bias in prediction results, espec...

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Bibliographic Details
Main Authors: Muhammad Khahfi Zuhanda, Lisya Permata, Hartono, Erianto Ongko, Desniarti
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2025-01-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
adasyn
oversampling
naive bayes
class imbalance
machine learning
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6031

Internet

https://jurnal.iaii.or.id/index.php/RESTI/article/view/6031

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