Regression on BIKE
0.04RMSECG
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CGNoise Level=Standard2023.06 | 0.04 | — | 2.81 | -2.62 | — | — | |
| SVGPNoise Level=Standard2023.06 | 0.07 | — | 20.5 | -1.27 | — | — | |
| SGD-GPNoise Level=Standard2023.06 | 0.11 | — | 5.7 | -0.48 | — | — | |
| MLPPredictor=MLP, Feature Engineering=LLM-FE2025.03 | 1.044 | — | — | — | — | — | |
| MLPPredictor=MLP, Feature Engineering=Base2025.03 | 1.205 | — | — | — | — | — | |
| TabPFNPredictor=TabPFN, Feature Engineering=LLM-FE2025.03 | 3.759 | — | — | — | — | — | |
| TabPFNPredictor=TabPFN, Feature Engineering=Base2025.03 | 3.795 | — | — | — | — | — | |
| XGBoostPredictor=XGBoost, Feature Engineering=LLM-FE2025.03 | 3.985 | — | — | — | — | — | |
| XGBoostPredictor=XGBoost, Feature Engineering=Base2025.03 | 4.094 | — | — | — | — | — | |
| AutoFeatMethod Category=Traditional Methods, Downstream Model=XGBoost2026.04 | — | — | — | — | 0.23 | — | |
| BaseMethod Category=Base, Downstream Model=XGBoost2026.04 | — | — | — | — | 0.23 | — | |
| CGNoise Level=Low2023.06 | — | 0.05 | — | — | — | — | |
| Clean Data2026.06 | — | — | — | — | — | 1.07 | |
| DDA-repair2026.06 | — | — | — | — | — | 1.44 | |
| DDA-select2026.06 | — | — | — | — | — | 1.31 | |
| DDC2026.06 | — | — | — | — | — | 1.42 | |
| DeMixrepair=true2026.06 | — | — | — | — | — | 1.11 | |
| DeMixrepair=false2026.06 | — | — | — | — | — | 1.19 | |
| DeMix-unifrepair=true2026.06 | — | — | — | — | — | 1.16 | |
| DeMix-unifrepair=false2026.06 | — | — | — | — | — | 1.22 | |
| DFSMethod Category=Traditional Methods, Downstream Model=XGBoost2026.04 | — | — | — | — | 0.225 | — | |
| Error. Data2026.06 | — | — | — | — | — | 1.61 | |
| LLMFEMethod Category=LLM-based Method, Downstream Model=XGBoost2026.04 | — | — | — | — | 0.225 | — | |
| MALMASMethod Category=MALMAS, Downstream Model=XGBoost, LLM=DeepSeekV32026.04 | — | — | — | — | 0.215 | — | |
| OpenFEMethod Category=Traditional Methods, Downstream Model=XGBoost2026.04 | — | — | — | — | 0.213 | — | |
| SGD-GPNoise Level=Low2023.06 | — | 0.11 | — | — | — | — |