Hierarchy Representation of Data in Machine Learnings
Machine Learning
2024-02-16 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2402.09965,
title = {Hierarchy Representation of Data in Machine Learnings},
author = {Han Yegang and Park Minjun and Byun Duwon and Park Inkyu},
journal= {arXiv preprint arXiv:2402.09965},
year = {2024}
}