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Extracting input output variability
I have a question about how to extract and store the input-output variability in rapidminer.
I am using the iris dataset.
I want to find the maximum and minimum prediction values observed by varying the value of the input, something like the graph attached. I know we can see the changes using model simulator operator. But, I would like to store the value of maximum and minimum in variables automatically. Is it possible to do that?