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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| 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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