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ResearchFormerly WizWand

Classification on Synthetic (accuracy)

97.75AccuracyLinear
72.550879.092985.63592.1771May 19, 2026May 20, 2026May 22, 2026May 23, 2026May 25, 2026May 26, 2026May 28, 2026
Updated 5mo ago

Evaluation results

MethodLinks
LinearBest alpha=0.47, Strategy=Best Pairwise2026.0597.75
LinearBest alpha=0.47, Strategy=Best kNN2026.0597.72
Chunked TabPFNScenario=Non-strategic2026.0591.8
TabPFN v2.5Scenario=Non-strategic2026.0591.5
TabICLScenario=Non-strategic2026.0591.2
Drift-Resilient TabPFNScenario=Non-strategic2026.0590.8
XGBoostScenario=Non-strategic2026.0590.4
SPNScenario=Non-strategic2026.0590.3
CatBoostScenario=Non-strategic2026.0590.2
SPNScenario=Strategic2026.0590.2
LinearBest alpha=0.47, Strategy=Raw2026.0588.05
TabDPTScenario=Non-strategic2026.0587.42
MLPScenario=Non-strategic2026.0587.15
LightGBMScenario=Non-strategic2026.0587.11
TabFlexScenario=Non-strategic2026.0587.06
Linear modelsScenario=Non-strategic2026.0586.54
SVMScenario=Non-strategic2026.0586.12
Drift-Resilient TabPFNScenario=Strategic2026.0586.1
LightGBMScenario=Strategic2026.0585.98
XGBoostScenario=Strategic2026.0585.73
LinearBest alpha=0.47, Strategy=Calibrated2026.0585.63
Chunked TabPFNScenario=Strategic2026.0585.6
CatBoostScenario=Strategic2026.0585.21
TabPFN v2.5Scenario=Strategic2026.0585.05
TabICLScenario=Strategic2026.0584.83
TabDPTScenario=Strategic2026.0584.63
MLPScenario=Strategic2026.0584.23
TabFlexScenario=Strategic2026.0584.02
Linear modelsScenario=Strategic2026.0583.64
SVMScenario=Strategic2026.0583.28
LinearBest alpha=0.47, Strategy=Naive2026.0573.52