Eric Günther

Disentangling Interactions and Dependencies in Feature Attributions

In explainable machine learning, global feature importance methods try to determine how much each individual feature contributes to predicting the target variable, resulting in one importance score for each feature. But often, predicting the target variable requires interactions between several feat…