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Air Quality Forecasting: Ensemble and Hybrid Methods
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Which of the following is an advantage of using ensemble methods for air quality forecasting?
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A
All of the above
💡 Explanation:
Ensemble methods offer several advantages, including improved accuracy and robustness due to the combination of multiple models, reduced computational cost by leveraging parallel processing, and increased interpretability by providing insights into the relative importance of different models.