Automatic model selection and application only of the optimal model
Building on Rapidminer's explanation videos on how to automatically select optimal models (3/30/16 RapidMiner Office Hours: Automatic Model Selection, starting at 11:26min; 17 Automated model selection and optimization), I would like to apply the optimal model to a dataset that is different from the dataset that was used to select the model. I already know how to store the optimal parameters of the models (see attached file) and apply them to all models, but I don't know how to select and store only the best model.
So, the question is: How to isolate the optimal model, store the model and the parameters in two files, and apply it with its optimal parameters to a second unlabeled dataset? Thank you for your help!