A COMPARISON OF ARTIFICIAL NEURAL NETWORK AND NAIVE BAYES CLASSIFICATION USING UNBALANCED DATA HANDLING

A COMPARISON OF ARTIFICIAL NEURAL NETWORK AND NAIVE BAYES CLASSIFICATION USING UNBALANCED DATA HANDLING

Classification is a supervised learning method that predicts the class of objects whose labels are unknown. Classification in machine learning will produce good performance if it has a balanced data class on the response variable. Therefore, unbalanced classification is a problem that must be taken...

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Bibliographic Details
Main Authors: Nila Lestari, Indahwati Indahwati, Erfiani Erfiani, Elisa D Julianti
Format: Article
Language:English
Published: Universitas Pattimura 2023-09-01
Series:Barekeng
Subjects:
naïve bayes
artificial neural network
unbalanced data
smote
anemia
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8591
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