I have a very skewed dataset, 1:99 and adding negative examples is not alleviating the false positive rate.
I think my problem is the balancing I am doing is too favorable to the positive class. Maybe I need to modify the weights of each weights to each class. (Actually ironically I can be increasing the false positive rate by adding more negative examples with my balancing equations).