2 papers
cs.LG2020
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level
Michael Pühringer, Andreas Hinterreiter, Marc Streit
Classification is one of the most important supervised machine learning tasks. During the training of a classification model, the training instances are fed to the model multiple t…
cs.LG2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
Andreas Hinterreiter, Peter Ruch, Holger Stitz +4
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. Durin…