AWS AI Practitioner
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?
A
Higher interpretability always leads to better performance
B
Neural networks offer higher interpretability than decision trees
C
Higher performance typically comes with lower interpretability
✓ Correcta
D
All ML models offer the same level of interpretability
Explicación
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.