Classification on imbalanced data sets, taking advantage of errors to improve performance Chapter uri icon

abstract

  • Classification methods usually exhibit a poor performance when they are applied on imbalanced data sets. In order to overcome this problem, some algorithms have been proposed in the last decade. Most of them generate synthetic instances in order to balanc