Note on "A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance"

被引：6
|
作者：
Ferrer, Carlos A. [1 ]
Aragon, Efren [1 ]
机构：
[1] Univ Cent Marta Abreu Las Villas, Informat Res Ctr, Santa Clara, Cuba
来源：
INFORMATION SCIENCES | 2023年 / 630卷
关键词：
Imbalance; SMOTE; Probability distribution;
D O I：
10.1016/j.ins.2022.10.005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this note, we point at a flaw in the process of applying SMOTE in [A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance, Information Sciences, 505 (2019) 32-64]. We present the corresponding corrections to the expressions of the mean and covariance matrix of the balanced minority sample and describe some implications in the experimental results.
引用
收藏
页码：322 / 324
页数：3
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