Interactive Confusion Matrices
Apple recently came out with a paper that had an interesting idea.
The paper describes possible improvements to a confusion matrix by allowing for nested classes as well as interactivity and I would argue that they some sensible ideas here.
The basic interface looks like this.
When you click to expand a class, you can see some more members.
You can keep an expanding for a deeper overview.
You can play with a demo of this work here.
I like the direction they've considered here, although not every classification problem will have nested classes like those shown here. It's also a shame that the current implementation gives you a large dashboard which won't work very well when you're inside of a Jupyter notebook. But I do like the idea of exploring interactivity as a method to understand model performance better.