AutoGluon-Tabular achieves superior accuracy on tabular classification and regression by multi-layer model ensembling and stacking, outperforming other AutoML frameworks on 50 benchmarks and Kaggle competitions.
Unknown” category was introduced for missing data as well as new categories encountered during inference, and an “Other
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2020 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular achieves superior accuracy on tabular classification and regression by multi-layer model ensembling and stacking, outperforming other AutoML frameworks on 50 benchmarks and Kaggle competitions.