Integrated gradients
Integrated gradients are a method used in machine learning to attribute the output of a model to its input features, providing insight into model decision-making.
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Integrated gradients are a method used in machine learning to attribute the output of a model to its input features, providing insight into model decision-making.
SHAP (Shapley Additive Explanations) is a method for explaining the output of machine learning models, providing insights into feature contributions.