Tabular foundation model rankings shuffle across benchmarks: on 160 classification and 81 regression datasets, accurate point predictions do not guarantee trustworthy intervals
Across 160 classification and 81 regression datasets, tabular foundation model rankings change with the benchmark and the reliability metric, and regression models that already sit near nominal marginal coverage still under-cover in their worst feature slab, so model selection cannot rest on aggregate predictive accuracy alone.