ConfusionFlow : A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion

Classifiers are among the most widely used supervised machine learning algorithms. Many classification models exist, and choosing the right one for a given task is difficult. During model selection and debugging, data scientists need to assess classifiers' performances, evaluate their learning...

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Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 2 vom: 30. Feb., Seite 1222-1236
Auteur principal: Hinterreiter, Andreas (Auteur)
Autres auteurs: Ruch, Peter, Stitz, Holger, Ennemoser, Martin, Bernard, Jurgen, Strobelt, Hendrik, Streit, Marc
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article Research Support, Non-U.S. Gov't