Why is it crucial for machine learning models, especially in critical applications like healthcare or finance, to be interpretable?
- Trust and Accountability
- Improved Training Data
- Increased Model Complexity
- Speed of Prediction
It is crucial for interpretability to establish trust and accountability. In critical areas like healthcare or finance, understanding the model's decision process is essential to ensure safe and ethical use.
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