Selecting the Suitable Resampling Strategy for Imbalanced Data Classification Regarding Dataset Properties. An Approach Based on Association Models

In many application domains such as medicine, information retrieval, cybersecurity, social media, etc., datasets used for inducing classification models often have an unequal distribution of the instances of each class. This situation, known as imbalanced data classification, causes low predictive p...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Mohamed S. Kraiem, Fernando Sánchez-Hernández, María N. Moreno-García
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Subjects:	imbalanced data classification undersampling oversampling SMOTE ROS RUS
Online Access:	https://www.mdpi.com/2076-3417/11/18/8546