Is there a way in keras
or tensorflow
to give samples an extra weight if they are incorrectly classified only. Ie. a combination of class weight and sample weight but only apply the sample weight for one of the outcomes in a binary class?
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Yes, it's possible. Below you may find an example of how to add additional weight on true positives , false positives , true negatives, etc: