This is a proof of one of the many No Free Lunch Theorems in statistical learning. Rafael Harth already did a very good writeup here of the same proof. I had a vision for doing some very nice diagrams which could help bridge the many summations and inequalities in this proof. I think I maybe only executed up to ~20% of that vision.

I have a good amount of experience making graphics and visuals, and this was still challenging. I think, until I find a better method, that I'll probably not make more of these. I felt a combination of:

difficulty using my tool (Inkscape) to get the "real" result in my head

frustration that the similarities between the images couldn't be abstracted out in some nice tool

For these sorts of graphs, I feel like Mermaid is maybe half-way there. But I feel like there's a lot of value to finding the specific visuals that you as the author think are good to help convey the intuition, so I'm a little hesitant to just use a compositional tool...

This is a proof of one of the many No Free Lunch Theorems in statistical learning. Rafael Harth already did a very good writeup here of the same proof. I had a vision for doing some very nice diagrams which could help bridge the many summations and inequalities in this proof. I think I maybe only executed up to ~20% of that vision.

I have a good amount of experience making graphics and visuals, and this was still challenging. I think, until I find a better method, that I'll probably not make more of these. I felt a combination of:

For these sorts of graphs, I feel like Mermaid is maybe half-way there. But I feel like there's a lot of value to finding the specific visuals that

you as the authorthink are good to help convey the intuition, so I'm a little hesitant to just use a compositional tool...