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Extract feature importance per class from SHAP summary plot from a multi-class problem

Time：09-11

I would like to know how to generate a table for feature importance for a specific class using the shap algorithm?

From the plot above, how to extract the feature importance for just class 6?

I saw

and mathematically:

np.allclose(pred, explainer.expected_value[cls]   sv[cls][idx].sum())

True