how to filter 'wrong predictions' of output of multi labeling model operator?
I usually use the Filter examples to select 'wrong predictions'.
When the operator 'multi labeling model' is used, one cant select label attributes. However those are required to select the 'wrong predictions' examples for the Filter Example Operator.
Therefore I changed the roles of the chosen attributes after applying the model & performance measure as 'label' and 'prediction' attribute in order to filter the 'wrong predictions'. However this also doesnt work.
Does anyone have an idea how to filter wrong predictions if using the multi labeling model operator?