Feature Backward Selection with Cross Validation


I have problem with using Feature Backward Selection node. In my model I am using cross validation node and I have to compare differents classification algorithms. I want to compare how feature selection impact on classification results. I checked the Example from 002004_Feature-Elimination_with_NaiveBayes but there is no CV node and I don't know how to connect Feature Elimination to my present model. I enclose images with my model.

And inside J48 metanode it looks :

Just place one of your metanodes inside the feature elimination loop, at the place where you would normally put the simple learner-predictor combi.