Classification method for imbalanced data set based on EKCStacking algorithm
Published • Dec 13, 2019
NobleIDNI1P18W05R39S91
Authors:,,
Qunzhong Liu
Wei Luo
Tao Shi
Abstract
The processing of imbalanced data sets has always been a hot issue in machine learning. The traditional classification method is to pursue the overall classification accuracy of data sets, and often ignores the classification effect of minority samples. Stacking is a framework algorithm. Based on th...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!