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

页码：322 / 324

页数：3

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