OmniTabBench shows no single model family dominates tabular tasks and maps performance advantages to specific dataset properties like size and skewness.
In terms of ResNet and FT-Transformer, we adopt the implementations provided by Gorishniy et al
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OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale
OmniTabBench shows no single model family dominates tabular tasks and maps performance advantages to specific dataset properties like size and skewness.