Text Classification
Scikit-learn
Joblib
Indonesian
automated-essay-scoring
retrieval-augmented-generation
explainable-ai
xgboost
kaggle
Instructions to use Maskur1109/rag-aes-relational-db-xgb-v13-1775029397 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Maskur1109/rag-aes-relational-db-xgb-v13-1775029397 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Maskur1109/rag-aes-relational-db-xgb-v13-1775029397", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
RAG AES Relational DB XGB V13.1
Model repo: https://huggingface.co/Maskur1109/rag-aes-relational-db-xgb-v13-1775029397
Performance
| Kondisi | QWK | Macro-F1 | RMSE |
|---|---|---|---|
| No RAG | 0.7899 | 0.6331 | 0.5431 |
| RAG | 0.8219 | 0.6322 | 0.4946 |
| Rubric | 0.8027 | 0.6253 | 0.5229 |
| FULL | 0.8232 | 0.6172 | 0.4946 |
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