I have a data set with ~
7 million rows, of which ~
100k are positives. I'm looking to shrink the data by keeping all the positives and then randomly sampling
several hundred thousand negative examples to round out the data set.
I'm uncertain what the guidelines are though. Are there any rules of thumb for what % needs to be positive / negative?
Any suggestions would be appreciated.