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...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Universitas Pattimura
2026-04-01
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| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/21730 |
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