[P] I used Bayesian statistics to find the best dispensers for every Zonai device in The Legend of Zelda: Tears of the Kingdom

https://preview.redd.it/86js8jroa2pb1.png?width=1464&format=png&auto=webp&s=7ce10494b5a77fd5c73a41322feefbf7e1f16504

Hello!

I thought people on this subreddit might be interested in how I went about inferring Zonai device draw chances for each dispenser in The Legend of Zelda: Tears of the Kingdom.

In this Switch game there are devices that can be glued together to create different machines. For instance, you can make a snowmobile from a fan, sled, and steering stick.

There are dispensers that dispense 3-6 of about 30 or so possible devices when you feed it …

devices game hello instance machinelearning machines people thought together