Regression on Forest Fires (10^1 scaling, five-fold CV)
0.156RMSELLM-FE
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-FEFeature Engineering=LLM-FE, Predictive Model=XGBoost2025.03 | 0.156 | |
| OpenFEFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 0.161 | |
| OCTreeFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 0.162 | |
| BaseFeature Engineering=None (Base), Predictive Model=XGBoost2025.03 | 0.163 | |
| AutoFeatFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 0.163 | |
| Base LLMFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 0.165 |