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ResearchFormerly WizWand

Classification on Adult (ACC)

91.3AccuracyChunked TabPFN
32.290447.610262.9378.2498Apr 22, 2026Apr 26, 2026May 1, 2026May 5, 2026May 10, 2026May 14, 2026May 19, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Chunked TabPFNScenario=Non-strategic2026.0591.3
TabPFN v2.5Scenario=Non-strategic2026.0591
TabICLScenario=Non-strategic2026.0590.7
Drift-Resilient TabPFNScenario=Non-strategic2026.0590.6
TabDPTScenario=Non-strategic2026.0589.91
SPNScenario=Non-strategic2026.0589.9
XGBoostScenario=Non-strategic2026.0589.8
SPNScenario=Strategic2026.0589.8
CatBoostScenario=Non-strategic2026.0589.6
TabFlexScenario=Non-strategic2026.0588.73
LightGBMScenario=Non-strategic2026.0588.44
TabR2026.0587.5
CatBoost2026.0587.32
LGBM2026.0587.21
XGBoost2026.0586.99
MLPScenario=Non-strategic2026.0586.82
TabM2026.0586.8
GBM2026.0586.76
Drift-Resilient TabPFNScenario=Strategic2026.0585.9
Random Forest2026.0585.74
Chunked TabPFNScenario=Strategic2026.0585.4
AdaBoost2026.0585.3
Linear modelsScenario=Non-strategic2026.0585.27
Multilinear-CovJactau=0.12026.0585.13
SVM2026.0585.12
Multilinear-STE2026.0585.11
CatBoostScenario=Strategic2026.0585.11
TabPFN v2.5Scenario=Strategic2026.0585.05
Soft-Mix2026.0585.01
Gumbel-ST2026.0585.01
TabTransformer2026.0585
TabSeq2026.0584.98
M-CovJac#p/n=4, L=6, k=4k, iterations=50k, τ=0.12026.0584.93
M-STE#p/n=4, L=6, k=4k, iterations=50k, τ=1.02026.0584.91
SVMScenario=Non-strategic2026.0584.91
MLP2026.0584.87
TabICLScenario=Strategic2026.0584.83
TabNet2026.0584.8
Gumbel-ST#p/n=16, L=6, k=4k, iterations=50k, τ=1.02026.0584.69
Soft-Mix#p/n=16, L=6, k=4k, iterations=50k, τ=1.02026.0584.68
LightGBMScenario=Strategic2026.0584.58
MLPScenario=Strategic2026.0584.13
Lasso2026.0583.65
XGBoostScenario=Strategic2026.0583.62
CategoryEmbedding2026.0583.4
DynaTab2026.0583.26
TabDPTScenario=Strategic2026.0583.22
KNN2026.0583.07
FT-Transformer2026.0583
TabFlexScenario=Strategic2026.0582.96
Linear modelsScenario=Strategic2026.0582.63
SAINT2026.0582.6
SVMScenario=Strategic2026.0582.45
CAAFEMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.0482.2
MALMASMethod Category=MALMAS, Downstream Classifier=XGBoost2026.0482.2
ModernNCA2026.0582.2
Mambular2026.0581.8
LLMFEMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.0481.6
BaseMethod Category=Base, Downstream Classifier=XGBoost2026.0481.4
AutoFeatMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.0481.4
OpenFEMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.0481.4
Decision Tree2026.0581.38
Trompt2026.0581.3
Naive Bayes2026.0581.16
DFSMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.0481
ResNetTabular2026.0580.8
OCTreeMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.0480.3
AutoInt2026.0580.2
MambaTab2026.0579.6
LLSPIN2026.0579.6
NODE2026.0578.3
LSPIN2026.0578.3
DCN2026.0576.8
TabulaRNN2026.0575.2
MambAttention2026.0574.3
TANGOS2026.0574.3
DANets2026.0571.5
DeepFM2026.0570.4
1-D CNN2026.0569.2
NDTF2026.0556.52
STG2026.0556.52
ENODE2026.0546.92
L2X2026.0546.92
REAL-X2026.0536.48
INVASE2026.0534.68
ProtoGate2026.0534.56