Explain the concept of model ensembling and its benefits.
Instruction: Discuss the rationale behind using ensemble methods and how they improve model performance.
Context: The question aims to assess the candidate's understanding of ensemble methods, including the theoretical basis for why combining multiple models often leads to better performance than individual models.
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The way I'd explain it in an interview is this: Model ensembling means combining multiple models so the final prediction is usually more stable or more accurate than any single model alone...