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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!