Cultivating the culture of responsible data science with Model-Cart

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.