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Base Learner

In ensemble learning, a collection of models (often of the same type) are generated. Each one as an individual might be fairly inaccurate, or “weak”. But, when the results are combined (for example, by averaging) the aggregate score can often achieve greater accuracy than one single “strong” learning model.

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