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Preferred term

ENSEMBLE MODELS  

Definition

  • A modeling process where multiple diverse models are created to predict an outcome, either by using many different modeling algorithms or using different training data sets. (en)

Broader concept

Narrower concepts

Change note

  • 2022-07-25 15:46:00.0 [tstevens] Insert Concept add broader relation (ENSEMBLE MODELS [35d2677c-619a-4a47-a5a7-3feb9973c5ab,996692] - MACHINE LEARNING MODELS [fe4392b0-13a9-43ff-bacc-f44a65aed4fa,996680]);
  • 2022-07-25 15:46:22.0 [tstevens] Insert Concept add narrower relation (ENSEMBLE MODELS [35d2677c-619a-4a47-a5a7-3feb9973c5ab,996692] - BOOSTING [e3e48b06-0678-4c41-9741-3752c9756bb8,996693]);
  • 2022-07-25 15:46:40.0 [tstevens] Insert Concept add narrower relation (ENSEMBLE MODELS [35d2677c-619a-4a47-a5a7-3feb9973c5ab,996692] - RANDOM FOREST [a68048f4-181c-4c6c-9bfa-9e4171e9f237,996694]);
  • 2022-07-26 08:06:39.0 [tstevens] insert Definition (id: null text: A modeling process where multiple diverse models are created to predict an outcome, either by using many different modeling algorithms or using different training data sets. language code: en);
  • 2022-07-27 12:33:23.0 [tstevens] update Definition (Encyclopedia of Machine Learning and Data Science: https://doi.org/10.1007/978-1-4899-7502-7);

URI

https://gcmd.earthdata.nasa.gov/kms/concept/35d2677c-619a-4a47-a5a7-3feb9973c5ab

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