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A business owner asks for explanations of model recommendations. What is a useful limitation to communicate?
Published
- Any explanation proves that changing one feature will cause the desired outcome.
- Explainability removes the need to validate the model.
- A longer explanation guarantees a more accurate prediction.
- Feature explanations can aid understanding but do not automatically prove causality or correctness.
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