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.
Because not all class probabilities were returned, the log-loss would have been infinite, and thus we consider this a failure
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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.