Package: autoEnsemble 0.3

autoEnsemble: Automated Stacked Ensemble Classifier for Severe Class Imbalance

An AutoML algorithm is developed to construct homogeneous or heterogeneous stacked ensemble models using specified base-learners. Various criteria are employed to identify optimal models, enhancing diversity among them and resulting in more robust stacked ensembles. The algorithm optimizes the model by incorporating an increasing number of top-performing models to create a diverse combination. Presently, only models from 'h2o.ai' are supported.

Authors:E. F. Haghish [aut, cre, cph]

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autoEnsemble.pdf |autoEnsemble.html✨
autoEnsemble/json (API)

Peer review:

Bug tracker:https://github.com/haghish/autoensemble/issues

On CRAN:

aialgorithmautomated-machine-learningautomlautoml-algorithmsensembleensemble-learningh2oh2oaimachine-learningmachinelearningmetalearningstack-ensemblestacked-ensemblesstacking

5 exports 5 stars 1.53 score 7 dependencies 21 scripts 266 downloads

Last updated 2 months agofrom:86fadc8b26. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:autoEnsembleensembleevaluateh2o.get_idsmodelSelection

Dependencies:bitopsbootcurlh2oh2otoolsjsonliteRCurl