Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach

Abstract Since machine learning algorithms rely on data, the way datasets are collected significantly impacts their performance. Data must be carefully gathered to minimize missing values or class imbalance. However, the inherent nature of the data tends can sometimes lead to such imbalances. An unb...

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Bibliographic Details
Main Authors: Alberto Nogales, Diego Guadalupe, Álvaro J. García-Tejedor
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Journal of Big Data
Subjects:
Online Access:https://doi.org/10.1186/s40537-025-01188-5
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