Flipping the labels in a classification problem
To begin with, I don't quite get it why you want to flip them. In the binary case, you flip Negatives and Positive, so True Negative becomes True Positive and so do FP/FN. Hence you flip specificity/true negative and sensitivity/recall values, so overall accuracy and F1 stay the same.