I want to train a logistic regression dataset. I have a quite big training data set ( >100 000) and have around 10 features I can train on. Half of my training data is negative training data and I know for sure that almost all these observations are true negative. But I know for sure that in my positive dataset half of maybe even more then half are false positives. I just dont know which ones.
How can I handle such a problem? Have anyone good tips of pointers to literature? Thanks in advance