Comparative study of re-sampling methods for imbalanced data sets
Guo Gong-d · Microcomputer Information · 2011
Study on imbalanced data sets is a hot research topic recently in data mining domain. Re-sampling is a key research direction among many approaches for imbalanced data sets. There are many different methods for dealing with imbalanced data sets. Ten different Re-sampling methods are chosen for comparative study. Some beneficial results are obtained from experiments that over-sampling methods perform better than under-sampling methods on different data sets. Over-sampling methods are also better than an ensemble method of over-sampling and under-sampling.