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Answer Posted / Vishwajeet Singh
Model interpretability is crucial for several reasons: n1. Trust and Transparency: Users need to understand how a model makes decisions, especially when the consequences of those decisions can have significant impacts.n2. Debugging and Improvement: Models that are transparent allow researchers to identify errors, tune parameters, and improve their performance over time.n3. Regulatory Compliance: In many industries, it is essential to explain how decisions are made, particularly when dealing with sensitive data.
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