Classification on travel (val)
0.857AUROCHuman-LLM Collaborative Feature Engineering Framework
Evaluation Results
| Method | Links | |
|---|---|---|
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=XGBoost, LLM Backbone=GPT-4o, Human Involvement=Active2026.01 | 0.857 | |
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=XGBoost, LLM Backbone=GPT-4o, Human Involvement=Absent2026.01 | 0.853 | |
| OCTreeDownstream Model=XGBoost, LLM Backbone=GPT-4o2026.01 | 0.846 | |
| OpenFEDownstream Model=XGBoost2026.01 | 0.836 | |
| CAAFEDownstream Model=XGBoost, LLM Backbone=GPT-4o2026.01 | 0.836 | |
| AutoGluonDownstream Model=XGBoost2026.01 | 0.832 | |
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=MLP, LLM Backbone=GPT-4o, Human Involvement=Active2026.01 | 0.823 | |
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=MLP, LLM Backbone=GPT-4o, Human Involvement=Absent2026.01 | 0.82 | |
| OCTreeDownstream Model=MLP, LLM Backbone=GPT-4o2026.01 | 0.817 | |
| CAAFEDownstream Model=MLP, LLM Backbone=GPT-4o2026.01 | 0.811 | |
| OpenFEDownstream Model=MLP2026.01 | 0.804 | |
| AutoGluonDownstream Model=MLP2026.01 | 0.803 |