Regression on bike 10^1 scaling (five-fold cross-validation)
3.985RMSELLM-FE
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-FEFeature Engineering=LLM-FE, Predictive Model=XGBoost2025.03 | 3.985 | |
| OpenFEFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 4.089 | |
| BaseFeature Engineering=None (Base), Predictive Model=XGBoost2025.03 | 4.094 | |
| OCTreeFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 4.094 | |
| Base LLMFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 4.149 | |
| AutoFeatFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 4.222 |