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TabArena v0.1

Compare predictive machine-learning methods on curated tabular datasets.

Checked Oct 21, 2026TabArena authors

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Coverage

51 curated IID datasets with multiple splits and classical, neural, and tabular foundation-model approaches.

Methodology

Use shared validation and tuning, distinguishing default, tuned, and ensembled settings. Separate individual models from systems managing their own search and ensembling.

People & organizations

7

Sources

Original paper and authorsPublished leaderboardHacker News comment (2026-09-28)