Making Visualization Scalable (MAVIS) for explaining machine learning classification models

People leverage the power of interactive visualization to make sense of, and gain insights from large/complex datasets. In machine learning (ML), developers need to understand how their models work. Stakeholders who make decisions with, or are affected by, such models also need that understanding (albeit in broader terms), for legislative and good…