Regression on forest
1.398NRMSEHuman-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 | 1.398 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=XGBoost, Backbone model=GPT-4o, Human involvement=false2026.01 | 1.402 | |
| OCTreeTabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 1.418 | |
| CAAFETabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 1.421 | |
| OpenFETabular learner=XGBoost2026.01 | 1.448 | |
| AutoGluonTabular learner=XGBoost2026.01 | 1.469 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=true2026.01 | 1.621 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=false2026.01 | 1.655 | |
| OCTreeTabular learner=MLP, Backbone model=GPT-4o2026.01 | 1.724 | |
| CAAFETabular learner=MLP, Backbone model=GPT-4o2026.01 | 1.75 | |
| OpenFETabular learner=MLP2026.01 | 1.851 | |
| AutoGluonTabular learner=MLP2026.01 | 1.851 |