1. StrategyAtlas: Strategy Analysis for Machine Learning Interpretability
- Author
-
Dennis Collaris, Jarke J. van Wijk, and Visualization
- Subjects
Data visualization ,Visual analytics ,Data models ,Computational modeling ,Computer Graphics and Computer-Aided Design ,Predictive models ,Insurance ,machine learning ,Signal Processing ,Explainable AI ,Computer Vision and Pattern Recognition ,Analytical models ,Software ,Visualization - Abstract
Businesses in high-risk environments have been reluctant to adopt modern machine learning approaches due to their complex and uninterpretable nature. Most current solutions provide local, instance-level explanations, but this is insufficient for understanding the model as a whole. In this work, we show that strategy clusters (i.e., groups of data instances that are treated distinctly by the model) can be used to understand the global behavior of a complex ML model. To support effective exploration and understanding of these clusters, we introduce StrategyAtlas, a system designed to analyze and explain model strategies. Furthermore, it supports multiple ways to utilize these strategies for simplifying and improving the reference model. In collaboration with a large insurance company, we present a use case in automatic insurance acceptance, and show how professional data scientists were enabled to understand a complex model and improve the production model based on these insights.
- Published
- 2023