The solutions to imbalanced data sets can be divided into data and algorithmic levels.
categories. The methods at data level change the distribution of the imbalanced data
sets, and then the balanced data sets are provided to the learner to improve the detection
rate of minority class. The methods at the algorithm level modify the existing
data mining algorithms or put forward new algorithms to resolve the imbalance
problem.