Hierarchy Representation of Data in Machine Learnings

arXiv:2402.09965v1 Announce Type: new
Abstract: When there are models with clear-cut judgment results for several data points, it is possible that most models exhibit a relationship where if they correctly judge one target, they also correctly judge another target. Conversely, if most models incorrectly judge one target, they may also incorrectly judge another target. We propose a method for visualizing this hierarchy among targets. This information is expected to be beneficial for model improvement.

abstract arxiv clear cs.ai cs.lg data judge judgment machine relationship representation type