What is SHAP?
An example of an AI chatbot conversation about SHAP, a method for interpreting machine learning models.
What is SHAP?
SHAP stands for SHapley Additive exPlanations. It's a method used to explain the output of machine learning models.
How does SHAP work?
SHAP values are based on cooperative game theory, assigning each feature an importance value for a particular prediction.
Why is SHAP important in machine learning?
SHAP helps in understanding model predictions, ensuring transparency and trust in AI systems.
Can you give an example of SHAP in action?
Sure! For instance, in a credit scoring model, SHAP can show how much each feature, like income or credit history, contributes to the score.
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