Regression on insurance
0.355nRMSEMALMAS
Evaluation results
| Method | Links | |
|---|---|---|
| MALMASMethod Category=MALMAS, Downstream Model=XGBoost, LLM=DeepSeekV32026.04 | 0.355 | |
| LLMFEMethod Category=LLM-based Method, Downstream Model=XGBoost2026.04 | 0.358 | |
| DFSMethod Category=Traditional Methods, Downstream Model=XGBoost2026.04 | 0.365 | |
| BaseMethod Category=Base, Downstream Model=XGBoost2026.04 | 0.367 | |
| AutoFeatMethod Category=Traditional Methods, Downstream Model=XGBoost2026.04 | 0.367 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=XGBoost, Backbone model=GPT-4o, Human involvement=true2026.01 | 0.378 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=XGBoost, Backbone model=GPT-4o, Human involvement=false2026.01 | 0.379 | |
| OCTreeTabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 0.381 | |
| OpenFEMethod Category=Traditional Methods, Downstream Model=XGBoost2026.04 | 0.381 | |
| CAAFETabular learner=XGBoost, Backbone model=GPT-4o2026.01 | 0.382 | |
| OpenFETabular learner=XGBoost2026.01 | 0.384 | |
| AutoGluonTabular learner=XGBoost2026.01 | 0.385 | |
| OCTreeTabular learner=MLP, Backbone model=GPT-4o2026.01 | 0.462 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=true2026.01 | 0.462 | |
| Human-LLM Collaborative Feature Engineering FrameworkTabular learner=MLP, Backbone model=GPT-4o, Human involvement=false2026.01 | 0.467 | |
| CAAFETabular learner=MLP, Backbone model=GPT-4o2026.01 | 0.473 | |
| OpenFETabular learner=MLP2026.01 | 0.511 | |
| AutoGluonTabular learner=MLP2026.01 | 0.512 |