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News/Revisiting Metafeatures to Explain Model Differences on Tabular Data
arxiv
PublishedMay 28, 2026 at 4:00 AM
—neutral

Revisiting Metafeatures to Explain Model Differences on Tabular Data

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2605.28418v1 Announce Type: new Abstract: With the rise of tabular foundation models alongside traditional models still performing well on many tasks, choosing the right model for a tabular dataset remains difficult. We investigate whether dataset meta-features can explain performance gaps bet

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Discussion
Mentioned models
02
  • 01
    TabICLv2
  • 02
    TabPFN-2.6
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#benchmark#tabular data#foundation models

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Mentioned models
02
  • 01
    TabICLv2
  • 02
    TabPFN-2.6
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#benchmark#tabular data#foundation models

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