Regression on insurance 10^3 scaling (five-fold cross-val)
4.969RMSEOCTree
Evaluation results
| Method | Links | |
|---|---|---|
| OCTreeFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 4.969 | |
| LLM-FEFeature Engineering=LLM-FE, Predictive Model=XGBoost2025.03 | 5.069 | |
| OpenFEFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 5.085 | |
| AutoFeatFeature Engineering=Classical FE, Predictive Model=XGBoost2025.03 | 5.098 | |
| Base LLMFeature Engineering=LLM-based FE, Predictive Model=XGBoost2025.03 | 5.112 | |
| BaseFeature Engineering=None (Base), Predictive Model=XGBoost2025.03 | 5.269 |