Regression on diamond 10^2 scaling (five-fold cross-validation)
5.356RMSELLM-FE
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-FEFeature Engineering=LLM-FE, Predictive Model=XGBoost2025.03 | 5.356 | |
| OpenFEFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 5.384 | |
| Base LLMFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 5.422 | |
| BaseFeature Engineering=None (Base), Predictive Model=XGBoost2025.03 | 5.479 | |
| OCTreeFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 5.479 | |
| AutoFeatFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 5.521 |