Classification on adult
87.4AccuracyLLM-FE
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-FEBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.03 | 87.4 | |
| BaseBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.03 | 87.3 | |
| OpenFEBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.03 | 87.3 | |
| CAAFEBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.03 | 87.2 | |
| OCTreeBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.03 | 87 | |
| XGBoostvalidation_strategy=5-fold cross validation2021.09 | 86.13 | |
| XGBoostType=Supervised baseline2021.10 | 86.11 | |
| LightGBMvalidation_strategy=5-fold cross validation2021.09 | 85.96 | |
| RRLvalidation_strategy=5-fold cross validation2021.09 | 85.73 | |
| CRSvalidation_strategy=5-fold cross validation2021.09 | 85.71 | |
| PLNN(MLP)validation_strategy=5-fold cross validation2021.09 | 85.71 | |
| RFvalidation_strategy=5-fold cross validation2021.09 | 85.57 | |
| SubTab (+Distance loss)Type=Self-supervised, Noise Type=Gaussian noise, Distance loss=true2021.10 | 85.35 | |
| SubTab (+Noise)Type=Self-supervised, Noise Type=Gaussian noise2021.10 | 85.34 | |
| SubTab (Base model)Type=Self-supervised, Noise=None2021.10 | 85.31 | |
| C4.5validation_strategy=5-fold cross validation2021.09 | 85.28 | |
| LRvalidation_strategy=5-fold cross validation2021.09 | 85.25 | |
| CARTvalidation_strategy=5-fold cross validation2021.09 | 85.19 | |
| AE w/ DropoutType=Autocoder baseline, Dropout=0.22021.10 | 85 | |
| RFTarget Model Size=Original2026.05 | 85 | |
| SSFTarget Model Size=100KB2026.05 | 85 | |
| SCATETarget Model Size=100KB2026.05 | 85 | |
| FP-SCATETarget Model Size=100KB2026.05 | 85 | |
| SBRLvalidation_strategy=5-fold cross validation2021.09 | 84.83 | |
| RF#samples=48842, #features=2622022.06 | 84.7 | |
| Logistic RegressionType=Supervised baseline2021.10 | 84.68 | |
| AEType=Autocoder baseline2021.10 | 84.67 | |
| Random ForestType=Supervised baseline2021.10 | 84.62 | |
| VIME-selfType=Self-supervised, Noise Type=Gaussian noise2021.10 | 84.43 | |
| DS-OPT#samples=48842, #features=2622022.06 | 84.4 | |
| DAE (RF)Type=Self-supervised, RF=true, Noise Type=Gaussian noise2021.10 | 84.37 | |
| CAE (NC)Type=Self-supervised, NC=true, Noise Type=Gaussian noise2021.10 | 84.24 | |
| FeatLLMBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.03 | 84.2 | |
| SCATETarget Model Size=10KB2026.05 | 84 | |
| FPTarget Model Size=100KB2026.05 | 84 | |
| TETarget Model Size=100KB2026.05 | 84 | |
| CART#samples=48842, #features=2622022.06 | 83.7 | |
| RIPPER#samples=48842, #features=2622022.06 | 83.3 | |
| LOPTarget Model Size=10KB2026.05 | 83 | |
| FP-SCATETarget Model Size=10KB2026.05 | 83 | |
| LOPTarget Model Size=100KB2026.05 | 83 | |
| CG#samples=48842, #features=2622022.06 | 82.8 | |
| BRS#samples=48842, #features=2622022.06 | 80.3 | |
| CORELSvalidation_strategy=5-fold cross validation2021.09 | 79.98 | |
| SVMvalidation_strategy=5-fold cross validation2021.09 | 79.78 | |
| FPTarget Model Size=10KB2026.05 | 79 | |
| Expert API2024.10 | 76.55 | |
| Llamdexvariant=MLP2024.10 | 76.08 | |
| CDVM5kTraining Data Percentage=30% Data2026.05 | 73.5 | |
| RandomTraining Data Percentage=30% Data2026.05 | 73.4 | |
| CDVM10kTraining Data Percentage=30% Data2026.05 | 72.6 | |
| InfOptTraining Data Percentage=30% Data2026.05 | 71.7 | |
| DataOOBTraining Data Percentage=30% Data2026.05 | 71.5 | |
| CDVM5kTraining Data Percentage=25% Data2026.05 | 71.4 | |
| CDVM5kTraining Data Percentage=20% Data2026.05 | 71.4 | |
| CDVM10kTraining Data Percentage=25% Data2026.05 | 70.9 | |
| CDVM5kTraining Data Percentage=15% Data2026.05 | 70.8 | |
| CDVM10kTraining Data Percentage=20% Data2026.05 | 70.7 | |
| CDVM10kTraining Data Percentage=15% Data2026.05 | 70.6 | |
| BanzhafTraining Data Percentage=30% Data2026.05 | 70.6 | |
| CDVM10kTraining Data Percentage=10% Data2026.05 | 70.5 | |
| DataOOBTraining Data Percentage=25% Data2026.05 | 70.4 | |
| DataOOBTraining Data Percentage=20% Data2026.05 | 70.4 | |
| CDVM5kTraining Data Percentage=10% Data2026.05 | 70.3 | |
| CDVM5kTraining Data Percentage=5% Data2026.05 | 70.2 | |
| Real Data LoRAadaptation_method=LoRA2024.10 | 69.84 | |
| DataOOBTraining Data Percentage=15% Data2026.05 | 69.8 | |
| RandomTraining Data Percentage=25% Data2026.05 | 69.8 | |
| CDVM10kTraining Data Percentage=5% Data2026.05 | 69.4 | |
| RandomTraining Data Percentage=20% Data2026.05 | 69.3 | |
| DataOOBTraining Data Percentage=10% Data2026.05 | 68.9 | |
| DataOOBTraining Data Percentage=5% Data2026.05 | 68.7 | |
| RandomTraining Data Percentage=15% Data2026.05 | 68.5 | |
| InfOptTraining Data Percentage=5% Data2026.05 | 67.8 | |
| BanzhafTraining Data Percentage=25% Data2026.05 | 67.8 | |
| RandomTraining Data Percentage=10% Data2026.05 | 67.3 | |
| InfOptTraining Data Percentage=25% Data2026.05 | 66.4 | |
| BanzhafTraining Data Percentage=20% Data2026.05 | 65.9 | |
| RandomTraining Data Percentage=5% Data2026.05 | 65.5 | |
| InfOptTraining Data Percentage=20% Data2026.05 | 65.2 | |
| InfOptTraining Data Percentage=10% Data2026.05 | 64.8 | |
| BanzhafTraining Data Percentage=15% Data2026.05 | 64.7 | |
| InfOptTraining Data Percentage=15% Data2026.05 | 63.8 | |
| BanzhafTraining Data Percentage=10% Data2026.05 | 62.8 | |
| Original LLM2024.10 | 60.86 | |
| BanzhafTraining Data Percentage=5% Data2026.05 | 59.1 |