🦉 🎤   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!
What type of validation does Auto Model use for small data sets?
I am in the middle of using RapidMiner Auto Model for classification in my thesis but can't seem to find information regarding what type of validation is used for Auto Model on a data set of 100 items. What type of validation does Auto Model use in my situation and can someone link me to documentation that I can reference for writeup?
Also, what is the default split between testing and training data for Auto Model?
Thanks so much in advance for your help!