Interactive Visualization of Counterfactual Explanations for Tabular Data
Abstract
. In this paper we present an interactive visualization tool that exhibits counterfactual explanations to explain model decisions. Each individual sample is assessed to identify the set of changes needed to flip the output of the model. These explanations aim to provide end-users with personalized actionable insights with which to understand automated decisions. An interactive method is also provided so that users can explore various solutions. The functionality of the tool is demonstrated by its application to a customer retention dataset. The tool is compatible with any counterfactual explanation generator and decision model for tabular data.
Cite
Text
Guyomard et al. "Interactive Visualization of Counterfactual Explanations for Tabular Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43430-3_25Markdown
[Guyomard et al. "Interactive Visualization of Counterfactual Explanations for Tabular Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/guyomard2023ecmlpkdd-interactive/) doi:10.1007/978-3-031-43430-3_25BibTeX
@inproceedings{guyomard2023ecmlpkdd-interactive,
title = {{Interactive Visualization of Counterfactual Explanations for Tabular Data}},
author = {Guyomard, Victor and Fessant, Françoise and Guyet, Thomas and Bouadi, Tassadit and Termier, Alexandre},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2023},
pages = {330-334},
doi = {10.1007/978-3-031-43430-3_25},
url = {https://mlanthology.org/ecmlpkdd/2023/guyomard2023ecmlpkdd-interactive/}
}