MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes

• URL: http://arxiv.org/abs/2309.05676v1
• Date: Sat, 9 Sep 2023 08:55:22 GMT
• Title: MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes
• Authors: Syed Ahsan Ali Dilawer, Shah Rukh Humayoun
• Abstract summary: We present our interactive visual analytics tool, called MultiCaM-Vis. It provides Emphoverview+detail style parallel coordinate views and a Chord diagram for exploration and inspection of class-level miss-classification of instances.
• Score: 0.2900810893770134
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Visual exploration of multi-classification models with large number of classes would help machine learning experts in identifying the root cause of a problem that occurs during learning phase such as miss-classification of instances. Most of the previous visual analytics solutions targeted only a few classes. In this paper, we present our interactive visual analytics tool, called MultiCaM-Vis, that provides \Emph{overview+detail} style parallel coordinate views and a Chord diagram for exploration and inspection of class-level miss-classification of instances. We also present results of a preliminary user study with 12 participants.

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