Relative Confusion Matrix: An Efficient Visualization for the Comparison of Classification Models - Archive ouverte HAL
Chapitre D'ouvrage Année : 2024

Relative Confusion Matrix: An Efficient Visualization for the Comparison of Classification Models

Fichier non déposé

Dates et versions

hal-04631412 , version 1 (02-07-2024)

Identifiants

Citer

Luc Etienne Pommé, Romain Bourqui, Romain Giot, David Auber. Relative Confusion Matrix: An Efficient Visualization for the Comparison of Classification Models. Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery, 1126, Springer Nature Switzerland, pp.223-243, 2024, Studies in Computational Intelligence, ⟨10.1007/978-3-031-46549-9_7⟩. ⟨hal-04631412⟩

Collections

CNRS
10 Consultations
0 Téléchargements

Altmetric

Partager

More