What are the applications of SHAP values in machine learning?
SHAP values are used to explain the output of machine learning models, helping to understand feature importance.
Can you give me some specific examples of how SHAP values are applied?
Sure! SHAP values are used in finance for credit scoring, in healthcare for patient risk assessment, and in marketing for customer segmentation.
How do SHAP values improve model interpretability?
They provide a unified measure of feature importance, allowing stakeholders to see how each feature contributes to predictions.
Are there any limitations to using SHAP values?
Yes, SHAP values can be computationally expensive for large datasets and may not always capture complex interactions between features.
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