pith. sign in

This is a cryptic error due to TPOT being explicitly passed the AUC and log-loss evaluation metrics for binary and multi-class classification respectively

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

fields

stat.ML 1

years

2020 1

verdicts

UNVERDICTED 1

representative citing papers

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

stat.ML · 2020-03-13 · unverdicted · novelty 5.0

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.

citing papers explorer

Showing 1 of 1 citing paper.

  • AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data stat.ML · 2020-03-13 · unverdicted · none · ref 18

    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.