Impute Missing Values
Working with my students on dealing with missing and imbalanced data in RM we found that Impute Missing Values operator, used in in the Tutorial Process for that operator, removes the label role from the class attribute (of the Labor-Negotiations dataset) and transfers it to duration attribute.
You can easily check the attributes and their roles on the k-NN (or any othe learner inside the operator) outside input and inside input.
I was not able to explain such a behaviour (although of course it is easy to work it out using Set Role twice).
Does anybody know the formal explanation?