smplmark

AutoML Benchmark (AMLB)

AutoML frameworks compared on classification accuracy and ROC AUC across a shared set of OpenML tasks.

Results of the AutoML Benchmark (AMLB), which ran automated machine-learning frameworks on a shared set of classification tasks and published the evaluations on OpenML as study 226 (www.openml.org/s/226, 2019). Each target is one framework; each run is one dataset, with the predictive accuracy and ROC AUC recorded there (0-1, higher is better).

Metrics

  • predictive_accuracy
  • area_under_roc_curve

Targets (6)

  • autosklearn
  • autoweka
  • h2oautoml
  • randomforest
  • tpot
  • tunedrandomforest

Published by OpenML.