Description
Understanding which features drive model predictions is crucial for building trustworthy and effective AI systems. Feature importance analysis not only helps in model interpretation but also guides feature engineering, model optimization, and business decision-making.
In enterprise AI applications, feature importance analysis serves multiple stakeholders: it helps data scientists optimize models, enables business users to understand model decisions, and provides compliance teams with necessary transparency. Here is a framework for analyzing feature importance across different model types and use cases.
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