Instruction: Define ensemble methods and discuss how they improve model performance.
Context: This question evaluates the candidate's knowledge of techniques that combine multiple models to improve predictions over a single model.
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The way I'd explain it in an interview is this: Ensemble methods combine multiple models so the final prediction is usually more accurate or more stable than any one component model by itself. The basic idea is that different models can capture different patterns or make different mistakes,...