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machine-learningclassificationrapidminercross-validationtext-classification

Storing XValidation (Cross Validation) Folds in Rapidminer?


I have tried a lot via code to save the test/train split samples for each fold in 10-fold cross validation(stratified) but couldn't manage to do that...

Is there any way to save the test/train splits samples (not model) in rapid miner ?


Solution

  • I was about to suggest this for your previous post.

    The Store operator that lets you store an example set in the repository. To allow the names of the different folds to be distinguished, you would need to have a macro that changes each time the operator executes. You then use the macro name when configuring the name in the Store operator. To create a macro use the Generate Macro operator which you can also use to increment it within the cross validation operator.