Definition
A method that calculates how much each feature contributes to a model’s prediction.
Detailed Explanation
SHapley Additive exPlanations (SHAP) uses game theory concepts to determine feature importance. It assigns each feature an importance value for a particular prediction by calculating the average marginal contribution of a feature value across all possible combinations.
Use Cases
Credit scoring explanation, medical diagnosis justification, fraud detection reasoning, customer churn analysis