ensemble methods
Ensemble methods refer to machine learning techniques that combine multiple models to make more accurate predictions or classifications by either averaging or aggregating their outputs. These methods leverage the collective intelligence of diverse models to mitigate individual model shortcomings and improve overall performance.
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