Feature importance methods promise to provide a ranking of features according to importance for a given classification task. A wide range of methods exist but their rankings often disagree and they are inherently difficult to evaluate due to a lack of ground truth beyond synthetic datasets. In a recent paper, PTB together with colleagues from NPL, IMBIH, King´s College, KIT, Fraunhofer HHI and...
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