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SHAP Values

[ʃæp ˈvæljuːz]
AI Infrastructure
Last updated: December 9, 2024

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

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