COMPARATIVE STUDY OF LIGHTGBM, CATBOOST, AND RANDOM FOREST IN MODELING PUBLIC COMPLAINTS CLASSIFICATION
Public complaints data on maladministration in Indonesia is a dataset with high-cardinality categorical variables and imbalanced category distributions, posing significant challenges for conventional machine learning algorithms. To address this issue, this study aims to evaluate and compare the per...
Kaydedildi:
| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Universitas Pattimura
2026-04-01
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| Seri Bilgileri: | Barekeng |
| Konular: | |
| Online Erişim: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/21730 |
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