Invited paper for the AAAI'2000 Workshop on Imbalanced Data Sets.For research to progress most effectively, we first should
establish common ground regarding just what is the problem that
imbalanced data sets present to machine learning systems. Why
and when should imbalanced data sets be problematic? When is
the problem simply an artifact of easily rectified design choices? I
will try to pick the low-hanging fruit and share them with the rest
of the workshop participants. Specifically, I would like to
discuss what the problem is not. I hope this will lead to a
profitable discussion of what the problem indeed is, and how it
might be addressed most effectively.NYU, Stern School of Business, IOMS Department, Center for Digital Economy Researc
