List your company
ResearchFormerly WizWand

Classification on adult

87.4AccuracyLLM-FE
57.96865.60973.2580.891Sep 30, 2021Jul 7, 2022Apr 14, 2023Jan 20, 2024Oct 27, 2024Aug 4, 2025May 12, 2026
Updated 5mo ago

Evaluation results

MethodLinks
LLM-FEBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.0387.4
BaseBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.0387.3
OpenFEBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.0387.3
CAAFEBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.0387.2
OCTreeBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.0387
XGBoostvalidation_strategy=5-fold cross validation2021.0986.13
XGBoostType=Supervised baseline2021.1086.11
LightGBMvalidation_strategy=5-fold cross validation2021.0985.96
RRLvalidation_strategy=5-fold cross validation2021.0985.73
CRSvalidation_strategy=5-fold cross validation2021.0985.71
PLNN(MLP)validation_strategy=5-fold cross validation2021.0985.71
RFvalidation_strategy=5-fold cross validation2021.0985.57
SubTab (+Distance loss)Type=Self-supervised, Noise Type=Gaussian noise, Distance loss=true2021.1085.35
SubTab (+Noise)Type=Self-supervised, Noise Type=Gaussian noise2021.1085.34
SubTab (Base model)Type=Self-supervised, Noise=None2021.1085.31
C4.5validation_strategy=5-fold cross validation2021.0985.28
LRvalidation_strategy=5-fold cross validation2021.0985.25
CARTvalidation_strategy=5-fold cross validation2021.0985.19
AE w/ DropoutType=Autocoder baseline, Dropout=0.22021.1085
RFTarget Model Size=Original2026.0585
SSFTarget Model Size=100KB2026.0585
SCATETarget Model Size=100KB2026.0585
FP-SCATETarget Model Size=100KB2026.0585
SBRLvalidation_strategy=5-fold cross validation2021.0984.83
RF#samples=48842, #features=2622022.0684.7
Logistic RegressionType=Supervised baseline2021.1084.68
AEType=Autocoder baseline2021.1084.67
Random ForestType=Supervised baseline2021.1084.62
VIME-selfType=Self-supervised, Noise Type=Gaussian noise2021.1084.43
DS-OPT#samples=48842, #features=2622022.0684.4
DAE (RF)Type=Self-supervised, RF=true, Noise Type=Gaussian noise2021.1084.37
CAE (NC)Type=Self-supervised, NC=true, Noise Type=Gaussian noise2021.1084.24
FeatLLMBackbone=XGBoost, n (number of samples)=48.8k, p (number of features)=142025.0384.2
SCATETarget Model Size=10KB2026.0584
FPTarget Model Size=100KB2026.0584
TETarget Model Size=100KB2026.0584
CART#samples=48842, #features=2622022.0683.7
RIPPER#samples=48842, #features=2622022.0683.3
LOPTarget Model Size=10KB2026.0583
FP-SCATETarget Model Size=10KB2026.0583
LOPTarget Model Size=100KB2026.0583
CG#samples=48842, #features=2622022.0682.8
BRS#samples=48842, #features=2622022.0680.3
CORELSvalidation_strategy=5-fold cross validation2021.0979.98
SVMvalidation_strategy=5-fold cross validation2021.0979.78
FPTarget Model Size=10KB2026.0579
Expert API2024.1076.55
Llamdexvariant=MLP2024.1076.08
CDVM5kTraining Data Percentage=30% Data2026.0573.5
RandomTraining Data Percentage=30% Data2026.0573.4
CDVM10kTraining Data Percentage=30% Data2026.0572.6
InfOptTraining Data Percentage=30% Data2026.0571.7
DataOOBTraining Data Percentage=30% Data2026.0571.5
CDVM5kTraining Data Percentage=25% Data2026.0571.4
CDVM5kTraining Data Percentage=20% Data2026.0571.4
CDVM10kTraining Data Percentage=25% Data2026.0570.9
CDVM5kTraining Data Percentage=15% Data2026.0570.8
CDVM10kTraining Data Percentage=20% Data2026.0570.7
CDVM10kTraining Data Percentage=15% Data2026.0570.6
BanzhafTraining Data Percentage=30% Data2026.0570.6
CDVM10kTraining Data Percentage=10% Data2026.0570.5
DataOOBTraining Data Percentage=25% Data2026.0570.4
DataOOBTraining Data Percentage=20% Data2026.0570.4
CDVM5kTraining Data Percentage=10% Data2026.0570.3
CDVM5kTraining Data Percentage=5% Data2026.0570.2
Real Data LoRAadaptation_method=LoRA2024.1069.84
DataOOBTraining Data Percentage=15% Data2026.0569.8
RandomTraining Data Percentage=25% Data2026.0569.8
CDVM10kTraining Data Percentage=5% Data2026.0569.4
RandomTraining Data Percentage=20% Data2026.0569.3
DataOOBTraining Data Percentage=10% Data2026.0568.9
DataOOBTraining Data Percentage=5% Data2026.0568.7
RandomTraining Data Percentage=15% Data2026.0568.5
InfOptTraining Data Percentage=5% Data2026.0567.8
BanzhafTraining Data Percentage=25% Data2026.0567.8
RandomTraining Data Percentage=10% Data2026.0567.3
InfOptTraining Data Percentage=25% Data2026.0566.4
BanzhafTraining Data Percentage=20% Data2026.0565.9
RandomTraining Data Percentage=5% Data2026.0565.5
InfOptTraining Data Percentage=20% Data2026.0565.2
InfOptTraining Data Percentage=10% Data2026.0564.8
BanzhafTraining Data Percentage=15% Data2026.0564.7
InfOptTraining Data Percentage=15% Data2026.0563.8
BanzhafTraining Data Percentage=10% Data2026.0562.8
Original LLM2024.1060.86
BanzhafTraining Data Percentage=5% Data2026.0559.1