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Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions
Additionally we explore how a domain expert can provide feature attributions which are sufficiently correct to improve the model.
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value
In this paper we examine this question and claim that they represent two different explanations which are valid for different end-users: one that explains the model and one that explains the model combined with the feature dependencies in the data.
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