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ResearchFormerly WizWand

Classification on HI

0.821AccuracyXGBoost
0.525640.602320.6790.75568Nov 10, 2023Mar 23, 2024Aug 4, 2024Dec 16, 2024Apr 29, 2025Sep 10, 2025Jan 22, 2026
Updated 6mo ago

Evaluation results

MethodLinks
XGBoostpercent_extra_features=50%, downstream_model=FT-Transformer2023.110.821
Deep Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.110.821
Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.110.82
1L Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.110.82
AGLpercent_extra_features=50%, downstream_model=FT-Transformer2023.110.82
AMpercent_extra_features=50%, downstream_model=FT-Transformer2023.110.82
RFpercent_extra_features=50%, downstream_model=FT-Transformer2023.110.819
No FSpercent_extra_features=50%, downstream_model=FT-Transformer2023.110.818
AutoNFSFeature type=Random features2025.030.818
XGBoostpercent_extra_features=50%, downstream_model=MLP2023.110.815
Deep Lassopercent_extra_features=50%, downstream_model=MLP2023.110.815
AMpercent_extra_features=50%, downstream_model=MLP2023.110.814
LassoNetpercent_extra_features=50%, downstream_model=FT-Transformer2023.110.814
RFFeature type=Random features2025.030.814
Deep LassoFeature type=Random features2025.030.814
Lassopercent_extra_features=50%, downstream_model=MLP2023.110.813
AGLpercent_extra_features=50%, downstream_model=MLP2023.110.813
Deep Lassopercent_extra_features=75%, downstream_model=MLP2023.110.813
AMFeature type=Random features2025.030.813
1L Lassopercent_extra_features=50%, downstream_model=MLP2023.110.812
Univariatepercent_extra_features=50%, downstream_model=FT-Transformer2023.110.812
LassoFeature type=Random features2025.030.812
XGBoostFeature type=Random features2025.030.812
LassoNetpercent_extra_features=50%, downstream_model=MLP2023.110.811
1L Lassopercent_extra_features=75%, downstream_model=MLP2023.110.811
AGLpercent_extra_features=75%, downstream_model=MLP2023.110.811
XGBoostpercent_extra_features=75%, downstream_model=MLP2023.110.811
UnivariateFeature type=Random features2025.030.811
1L LassoFeature type=Random features2025.030.811
LassoNetFeature type=Random features2025.030.811
Univariatepercent_extra_features=50%, downstream_model=MLP2023.110.81
RFpercent_extra_features=50%, downstream_model=MLP2023.110.81
Lassopercent_extra_features=75%, downstream_model=MLP2023.110.81
AGLFeature type=Random features2025.030.81
ProtoGateFeature type=Random features2025.030.809
LassoNetpercent_extra_features=75%, downstream_model=MLP2023.110.805
RFpercent_extra_features=75%, downstream_model=MLP2023.110.805
No FSpercent_extra_features=50%, downstream_model=MLP2023.110.802
LSpinFeature type=Random features2025.030.801
STGFeature type=Random features2025.030.8
No FSFeature type=Random features2025.030.798
No FSpercent_extra_features=75%, downstream_model=MLP2023.110.788
Univariatepercent_extra_features=75%, downstream_model=MLP2023.110.742
TabII2026.010.732
TabPFN-v2ICL Setup=add test with pseudo label2026.010.672
TabPFN-v2ICL Setup=add test without label2026.010.647
TransTabInference Columns=All columns2026.010.626
TabPFN-v2ICL Setup=with train set only2026.010.623
CatBoostInference Columns=Train set only2026.010.564
MLPInference Columns=Train set only2026.010.563
ResNetInference Columns=Train set only2026.010.563
FT-TransInference Columns=Train set only2026.010.563
TabNetInference Columns=Train set only2026.010.56
SCARFInference Columns=Train set only2026.010.56
XGBoostInference Columns=Train set only2026.010.556
LRInference Columns=Train set only2026.010.547
MediTabModel Type=LLM-assisted2026.010.544
TabLLMModel Type=LLM-assisted2026.010.54
FT-Trans*Inference Columns=All columns, Embedding=Linear2026.010.537