Parameter-Free Negative Extreme Anomalous Undersampling Techniques on Class Imbalance Problems

Abstract: This research addressed the critical challenge of class imbalance in classification, which is a prevalent issue in real-world applications. Standard classifiers often struggled with imbalanced datasets and frequently misclassified the minority class (positive instances) due to the overwhelming presence of the majority class (negative instances). The proposed Negative Extreme Anomalous Undersampling Technique (NEXUT) was introduced as a parameter-free approach. It leveraged the negative extreme anomalous score to strategically eliminate negative instances located in overlapping regions. This targeted removal was designed to improve the classifier’s ability to effectively distinguish between the two classes. To evaluate the effectiveness of the proposed method, we conducted a comprehensive comparison with established undersampling techniques. The evaluation utilized both synthetic datasets and twelve datasets from the UCI repository. Six different classifiers were employed to ensure a diverse and unbiased performance assessment. Results from the Wilcoxon signed-rank test confirmed that the proposed method achieved significantly higher performance compared to existing techniques. These findings demonstrated the potential of NEXUT as a robust and valuable tool for addressing class imbalance problems.

Benjawan Jantamat and Krung Sinapiromsaran. “Parameter-Free Negative Extreme Anomalous Undersampling Techniques on Class Imbalance Problems”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.8 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160887

@article{Jantamat2025,
title = {Parameter-Free Negative Extreme Anomalous Undersampling Techniques on Class Imbalance Problems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160887},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160887},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {8},
author = {Benjawan Jantamat and Krung Sinapiromsaran}
}