Výsledky vyhledávání - "Hilde J.P. Weerts"

Characterizing Data Scientists' Mental Models of Local Feature Importance

Autor: Dennis Collaris, Hilde J.P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy

Publikováno v: NordiCHI '22: Nordic Human-Computer Interaction Conference

Feature importance is an approach that helps to explain machine learning model predictions. It works through assigning importance scores to input features of a particular model. Different techniques exist to derive these scores, with widely varying u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f4e82ada25ff19fe3974489b670bce8
http://www.scopus.com/inward/record.url?scp=85140928779&partnerID=8YFLogxK

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