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...
Description complète
Détails bibliographiques
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 |