What question did this study set out to answer?

The aim is to unify methods for interpreting complex model predictions and identify when each method is preferable.

May 22, 2017Open Access

A Unified Approach to Interpreting Model Predictions

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Presents a unified framework that enhances the interpretability of model predictions, suggesting methods for greater accuracy in complex models.

The aim is to unify methods for interpreting complex model predictions and identify when each method is preferable.
Introduction of a unified framework for feature importance measures known as SHAP.
Unification of six existing interpretative methods into a new class.
Validation of theoretical properties ensuring a unique solution within this class.
The unified framework demonstrates improved computational performance compared to previous methods.
New methods proposed show better consistency with human intuition than existing approaches.
SHAP assigns importance values to features, enhancing interpretability across complex models.

Lundberg et al. (2017) studied this question.

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Presents a unified framework that enhances the interpretability of model predictions, suggesting methods for greater accuracy in complex models.