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About: Ensemble averaging (machine learning)     Goto   Sponge   NotDistinct   Permalink

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In machine learning, particularly in the creation of artificial neural networks, ensemble averaging is the process of creating multiple models and combining them to produce a desired output, as opposed to creating just one model. Frequently an ensemble of models performs better than any individual model, because the various errors of the models "average out."