of this first hole so the better approach is to use some kind of out of focus to the to the labels so for each fault the train has separate a separate model and predict and create a separate suitable data change independently and afterwards it kind of provides a reliable reliable schema validation so then we can compare the models before the first ago that was Jack have been applied the only drawback here is that we need to train for different models for each mode and obtain only one set of CB labels and they're not really reliable