Regression on Housing
0.214RMSEHuman-LLM Collaborative Feature Engineering Framework
Evaluation results
| Method | Links | |
|---|---|---|
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=XGBoost, Backbone model=GPT-4o, Human involvement=true2026.01 | 0.214 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=XGBoost, Backbone model=GPT-4o, Human involvement=false2026.01 | 0.216 | |
| OCTreeTabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 0.221 | |
| CAAFETabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 0.224 | |
| OpenFETabular learner=XGBoost2026.01 | 0.228 | |
| AutoGluonTabular learner=XGBoost2026.01 | 0.231 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=true2026.01 | 0.266 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=false2026.01 | 0.27 | |
| OCTreeTabular learner=MLP, Backbone model=GPT-4o2026.01 | 0.283 | |
| CAAFETabular learner=MLP, Backbone model=GPT-4o2026.01 | 0.292 | |
| OpenFETabular learner=MLP2026.01 | 0.316 | |
| AutoGluonTabular learner=MLP2026.01 | 0.319 | |
| XGBoostInterpretability=No, Complex.=N/A2026.02 | 0.443 | |
| NAEInterpretability=Yes, Complex.=O(n)2026.02 | 0.451 | |
| NODE-GA2MInterpretability=Yes, Complex.=O(n^2)2026.02 | 0.476 | |
| NB2MInterpretability=Yes, Complex.=O(n^2)2026.02 | 0.478 | |
| EB2MInterpretability=Yes, Complex.=O(n^2)2026.02 | 0.492 | |
| NA2MInterpretability=Yes, Complex.=O(n^2)2026.02 | 0.492 | |
| MLPInterpretability=No, Complex.=N/A2026.02 | 0.501 | |
| NODEInterpretability=No, Complex.=N/A2026.02 | 0.523 | |
| NODE-GAMInterpretability=Yes, Complex.=O(n)2026.02 | 0.558 | |
| EBMInterpretability=Yes, Complex.=O(n)2026.02 | 0.559 | |
| NBMInterpretability=Yes, Complex.=O(n)2026.02 | 0.564 | |
| SplineInterpretability=Yes, Complex.=O(n)2026.02 | 0.568 | |
| NAMInterpretability=Yes, Complex.=O(n)2026.02 | 0.572 | |
| LinearInterpretability=Yes, Complex.=O(n)2026.02 | 0.735 | |
| MLPPredictor=MLP, Feature Engineering=Base2025.03 | 1.045 | |
| TabPFNPredictor=TabPFN, Feature Engineering=LLM-FE2025.03 | 4.184 | |
| TabPFNPredictor=TabPFN, Feature Engineering=Base2025.03 | 4.338 | |
| XGBoostPredictor=XGBoost, Feature Engineering=LLM-FE2025.03 | 4.525 | |
| XGBoostPredictor=XGBoost, Feature Engineering=Base2025.03 | 4.845 | |
| MLPPredictor=MLP, Feature Engineering=LLM-FE2025.03 | 9.183 |