Regression on plasma_retinol 10^2 scaling (five-fold cross-validation)
2.278RMSELLM-FE
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-FEFeature Engineering=LLM-FE, Predictive Model=XGBoost2025.03 | 2.278 | |
| BaseFeature Engineering=None (Base), Predictive Model=XGBoost2025.03 | 2.352 | |
| OCTreeFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 2.362 | |
| OpenFEFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 2.363 | |
| Base LLMFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 2.384 | |
| AutoFeatFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 2.478 |