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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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Universitas Diponegoro
2023-04-01
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| Schriftenreihe: | Media Statistika |
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| Online-Zugang: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/42755 |
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