Weighted-class Based Fuzzy Classification Method for Class-imbalanced Data
基于类权重的模糊不平衡数据分类方法

Using data sets that contain very few instances of the positive class usually produces biased classifiers and has a lower predictive accuracy over the positive class(usually the more important class)than over the negative class.Proposed a classification method for imbalance problem.This approach obtains maximum separation ratio to separate two class instances with a single sphere.Moreover,this method applies a fuzzy membership to each input point such that different input points can make different contribut...