EuroVisPosters2024

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/3606996

Browse

Browsing EuroVisPosters2024 by Subject "CCS Concepts: Human-centered computing → Visualization techniques; Information systems → Users and interactive retrieval"

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    A Dashboard for Simplifying Machine Learning Models using Feature Importances and Spurious Correlation Analysis
    (The Eurographics Association, 2024) Cech, Tim; Kohlros, Erik; Scheibel, Willy; Döllner, Jürgen; Kucher, Kostiantyn; Diehl, Alexandra; Gillmann, Christina
    Machine Learning models underlie a trade-off between accurracy and explainability. Given a trained, complex model, we contribute a dashboard that supports the process to derive more explainable models, here: Fast-and-Frugal Trees, with further introspection using feature importances and spurious correlation analyses. The dashboard further allows to iterate over the feature selection and assess the trees' performance in comparison to the complex model.