Cross-validated model on test data
I am new to working with RapidMiner and I want to verify my understanding. My data set was separated into a training and a test data set before feeding it into RapidMiner. My goal is to train and cross-validate a model and then apply it to the the test data. Does the structure as shown in the pictures make sense for what I am trying to achieve or did I misunderstand something? Thank you for your time.