COMPARISON OF RANDOM FOREST AND SUPPORT VECTOR MACHINE CLASSIFICATION METHODS FOR PREDICTING THE ACCURACY LEVEL OF MADRASAH DATA
This study aims to identify the most effective classification method for predicting the accuracy level of madrasah data with class imbalance. Two machine learning approaches were employed: Random Forest (RF) and Support Vector Machine (SVM). Based on the AUC values, it was concluded that the RF mode...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Universitas Diponegoro
2025-10-01
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| Serija: | Media Statistika |
| Teme: | |
| Online dostop: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/63768 |
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