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Related Questions
- How do feature importance scores help identify the most influential variables in a machine learning model?
- Can feature importance scores be used to interpret the decision-making process of a model with multiple complex interactions?
- What are some common methods used to calculate feature importance scores, such as permutation importance, SHAP values, and partial dependence plots?
- How do feature importance scores impact model interpretability and trustworthiness?
- Can feature importance scores be used to compare the relevance of different features across multiple models?
- How do feature importance scores relate to the concept of variable importance in data analysis?
- What are some potential limitations and challenges of relying solely on feature importance scores for model interpretation?
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