We propose ClaVis, a visual analytics system for comparative analysis of classification models. ClaVis allows users to visually compare the performance and behavior of tens to hundreds of classifiers trained with different hyperparameter configurations. Our approach is plugin-based and classifier-agnostic and allows users to add their own datasets and classifier implementations. It provides multiple visualizations, including a multivariate ranking, a similarity map, a scatterplot that reveals correlations between parameters and scores, and a training history chart. We demonstrate the effectivity of our approach in multiple case studies for training classification models in the domain of natural language processing.
%0 Conference Paper
%1 heyen2020clavis
%A Heyen, Frank
%A Munz, Tanja
%A Neumann, Michael
%A Ortega, Daniel
%A Vu, Ngoc Thang
%A Weiskopf, Daniel
%A Sedlmair, Michael
%B Proceedings of the International Conference on Advanced Visual Interfaces
%C New York, NY, USA
%D 2020
%I Association for Computing Machinery
%K EXC2075 PN6 PN6-4 selected
%R 10.1145/3399715.3399814
%T ClaVis: An Interactive Visual Comparison System for Classifiers
%U https://doi.org/10.1145/3399715.3399814
%X We propose ClaVis, a visual analytics system for comparative analysis of classification models. ClaVis allows users to visually compare the performance and behavior of tens to hundreds of classifiers trained with different hyperparameter configurations. Our approach is plugin-based and classifier-agnostic and allows users to add their own datasets and classifier implementations. It provides multiple visualizations, including a multivariate ranking, a similarity map, a scatterplot that reveals correlations between parameters and scores, and a training history chart. We demonstrate the effectivity of our approach in multiple case studies for training classification models in the domain of natural language processing.
%@ 9781450375351
@inproceedings{heyen2020clavis,
abstract = {We propose ClaVis, a visual analytics system for comparative analysis of classification models. ClaVis allows users to visually compare the performance and behavior of tens to hundreds of classifiers trained with different hyperparameter configurations. Our approach is plugin-based and classifier-agnostic and allows users to add their own datasets and classifier implementations. It provides multiple visualizations, including a multivariate ranking, a similarity map, a scatterplot that reveals correlations between parameters and scores, and a training history chart. We demonstrate the effectivity of our approach in multiple case studies for training classification models in the domain of natural language processing.},
added-at = {2024-03-26T11:56:11.000+0100},
address = {New York, NY, USA},
articleno = {9},
author = {Heyen, Frank and Munz, Tanja and Neumann, Michael and Ortega, Daniel and Vu, Ngoc Thang and Weiskopf, Daniel and Sedlmair, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b94a323bb1481f5b322255b9bf245115/testusersimtech},
booktitle = {Proceedings of the International Conference on Advanced Visual Interfaces},
doi = {10.1145/3399715.3399814},
interhash = {5bcaeedc1ee8e009a637fa403fc78357},
intrahash = {b94a323bb1481f5b322255b9bf245115},
isbn = {9781450375351},
keywords = {EXC2075 PN6 PN6-4 selected},
location = {Salerno, Italy},
numpages = {9},
publisher = {Association for Computing Machinery},
series = {AVI '20},
timestamp = {2024-03-26T11:56:11.000+0100},
title = {ClaVis: An Interactive Visual Comparison System for Classifiers},
url = {https://doi.org/10.1145/3399715.3399814},
year = 2020
}