Model card
AutoGluon-Tabular.
Amazonopen-sourceAutoML ensemble
Automated ML framework combining stacked ensembles of gradient boosting, neural nets, and deep tabular models.
§ 01 · Benchmarks
Every benchmark AutoGluon-Tabular has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | OpenML-CC18 | Time Series · Tabular Classification | accuracy | 88.5% | #1 | 2025-06-01 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where AutoGluon-Tabular actually performs.
§ 03 · Papers
1 paper with results for AutoGluon-Tabular.
- 2025-06-01· 1 result
ConTextTab: A Semantics-Aware Tabular In-Context Learner
Marco Spinaci
§ 04 · Related models
Other Amazon models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
ConTextTab Table 1
1
result
1 of 1 rows marked verified.