Question: How do ensemble methods improve model robustness in machine learning? By focusing solely on increasing the size of the dataset By aggregating the predictions of

How do ensemble methods improve model robustness in machine learning?
By focusing solely on increasing the size of the dataset
By aggregating the predictions of several base estimators to improve generalizability and stability
By combining multiple models to reduce the influence of noise
By simplifying the computational algorithms used
How do ensemble methods improve model robustness in machine learning? By

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