Regression on crab
0.217NRMSEHuman-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 | 0.217 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=XGBoost, Backbone model=GPT-4o, Human involvement=false2026.01 | 0.219 | |
| OCTreeTabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 0.222 | |
| CAAFETabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 0.224 | |
| OpenFETabular learner=XGBoost2026.01 | 0.226 | |
| AutoGluonTabular learner=XGBoost2026.01 | 0.23 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=true2026.01 | 0.239 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=false2026.01 | 0.242 | |
| OCTreeTabular learner=MLP, Backbone model=GPT-4o2026.01 | 0.252 | |
| CAAFETabular learner=MLP, Backbone model=GPT-4o2026.01 | 0.258 | |
| OpenFETabular learner=MLP2026.01 | 0.286 | |
| AutoGluonTabular learner=MLP2026.01 | 0.288 |