Computer scienceData scienceMachine learningEnsemble learning

Ensemble methods

Theory

Popular ensembles

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Match the names of the popular ensembling algorithms with their short descriptions.

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Random Forest
Adaptive Boosting
Gradient Boosting
Learn several decision trees sequentially, making each new tree focus more on the examples misclassified by the previous one by introducing sample weight.
Learn several decision trees sequentially, making each new tree predict previous tree's errors.
Learn several decision trees using different sub-samples of the training data, as well as randomly chosen features.
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