Optimasi Hyperparameter Ensemble Learning untuk Prediksi Perkembangan Penyakit Diabetes dengan Explainable AI
This research focuses on optimizing and assessing ensemble learning models for predicting diabetes progression by combining hyperparameter tuning and explainable artificial intelligence techniques. Experiments were conducted using the scikit-learn diabetes dataset, which contains 442 samples with t...
Furkejuvvon:
| Váldodahkkit: | , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Universitas Islam Negeri Sunan Kalijaga Yogyakarta
2026-05-01
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| Ráidu: | JISKA (Jurnal Informatika Sunan Kalijaga) |
| Fáttát: | |
| Liŋkkat: | https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/5953 |
| Fáddágilkorat: |
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