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Editar Pregunta #396
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A data science team is selecting an ML model for a critical application. The team is discussing the tradeoff between model performance and interpretability. Which statement BEST describes this tradeoff?
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There is typically an inverse relationship between model performance and interpretability. High-performance models like deep neural networks and ensemble methods are often 'black boxes' with low interpretability, while simpler, more interpretable models like linear regression and decision trees generally have lower performance on complex tasks.
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