Regression on housing 10^4 scaling (five-fold cross-validation)
4.525RMSELLM-FE
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-FEFeature Engineering=LLM-FE, Predictive Model=XGBoost2025.03 | 4.525 | |
| OpenFEFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 4.628 | |
| AutoFeatFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 4.776 | |
| BaseFeature Engineering=None (Base), Predictive Model=XGBoost2025.03 | 4.845 | |
| OCTreeFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 4.845 | |
| Base LLMFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 4.961 |