Cultivating the culture of responsible data science with Model-Cart

Authors

Vidit Singh, University of Nebraska at OmahaFollow
Yonas Kassa, University of Nebraska at OmahaFollow
Brian Ricks, University of Nebraska at OmahaFollow
Robin Gandhi, University of Nebraska at OmahaFollow

Document Type

Poster

Publication Date

10-25-2023

Abstract

Our work introduces Model-Cart, an explainable machine learning framework with human-in-the- loop that enables more reproducible and trustworthy data science. With a user-friendly interface and quantitative and qualitative model explainability techniques, our framework can improve the justifiability of ML model selection in high-stakes settings.

Comments

The authors hold the copyright to this work. Any reuse or permission must be obtained from the authors directly.

This poster was presented at the 2023 ADSA annual meeting, October 25, 2023, university of San Antonio, Texas.

Recommended Citation

Singh, Vidit; Kassa, Yonas; Ricks, Brian; and Gandhi, Robin, "Cultivating the culture of responsible data science with Model-Cart" (2023). Interdisciplinary Informatics Faculty Proceedings & Presentations. 41.
https://digitalcommons.unomaha.edu/interdiscipinformaticsfacproc/41