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Description
An Ensemble is a set of models, each trained on a sample of the training set. In some cases, training an ensemble instead of a single model is used to boost the accuracy of a given algorithm. Parallel Ensemble is an umbrella word to denote all types of ensembles where the models are independent and can run in parallel.