🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤
We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.
Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!
"Maximum theoretical accuracy"
I've been wondering, is there a theory on the maximum accuracy one can achieve on a given example set without over-fitting? I'm looking for something that could tell me, "whatever method you use to do regression/classification on this dataset, you'll never achieve over x% accuracy" , or something along those lines.
I tried a quick Google search, but didn't find anything along those lines, so I'm asking the experts now
Thanks for any leads on the subject!