COMPARISON OF SMOTE RANDOM FOREST AND SMOTE K-NEAREST NEIGHBORS CLASSIFICATION ANALYSIS ON IMBALANCED DATA

COMPARISON OF SMOTE RANDOM FOREST AND SMOTE K-NEAREST NEIGHBORS CLASSIFICATION ANALYSIS ON IMBALANCED DATA

In machine learning study, classification analysis aims to minimize misclassification and also maximize the results of prediction accuracy. The main characteristic of this classification problem is that there is one class that significantly exceeds the number of samples of other classes. SMOTE minor...

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Bibliographic Details
Main Authors: Jus Prasetya, Abdurakhman Abdurakhman
Format: Article
Language:English
Published: Universitas Diponegoro 2023-04-01
Series:Media Statistika
Subjects:
machine learning
classification
smote
random forest
k-nearest neighbors
Online Access:https://ejournal.undip.ac.id/index.php/media_statistika/article/view/42755

Internet

https://ejournal.undip.ac.id/index.php/media_statistika/article/view/42755

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