A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts
Richard Vogel,
Tobias Schlosser,
Robert Manthey
et al.
Abstract:Background. The importance of explainable artificial intelligence and machine learning (XAI/XML) is increasingly being recognized, aiming to understand how information contributes to decisions, the method’s bias, or sensitivity to data pathologies. Efforts are often directed to post hoc explanations of black box models. These approaches add additional sources for errors without resolving their shortcomings. Less effort is directed into the design of intrinsically interpretable approaches. Methods. We introduce… Show more
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