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Cross-validated model on test data

Hello everyone,

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.

Image: https://us.v-cdn.net/6030995/uploads/editor/nb/x0q58w5k9euh.png

Image: https://us.v-cdn.net/6030995/uploads/editor/ci/5yykedwl2f4r.png

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Cross Validation

Deep Learning + Neural Nets

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