Fig. 2.
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Types of explainers (Czerwinska 2020). Panel a: Sum of a row of matrices (features by features) equals the SHAP value of this feature and this sample. Panel b: Diagonal entries equal the main effect of this feature on the prediction. Panel c: Symmetrical entries out of the diagonal equal the interaction effect between all the pairs of features for a given sample.
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