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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...

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