A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem

A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem

Class imbalance is one of the significant challenges in classification problems. The uneven distribution of data samples in different classes may occur due to human error, improper/unguided collection of data samples, etc. The uneven distribution of class samples among classes may affect the classif...

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Bibliographic Details
Main Authors: Subhashree Rout, Pradeep Kumar Mallick, Annapareddy V. N. Reddy, Sachin Kumar
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Information
Subjects:
class imbalance problem
data augmentation
SMOTE
particle swarm optimization
Egyptian vulture
Online Access:https://www.mdpi.com/2078-2489/13/8/386

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https://www.mdpi.com/2078-2489/13/8/386

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