A Robust Statistical Framework for Outlier Detection and Its Influence on Predictive Modeling Accuracy
Outliers, defined as observations that deviate substantially from the majority of data, pose a serious challenge to predictive modeling by distorting estimation, increasing variance, and reducing model reliability. Although numerous statistical and machine learning approaches for outlier detection h...
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| Published in: | Journal of Al-Qadisiyah for Computer Science and Mathematics Vol. 17; no. 3 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
30.09.2025
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| ISSN: | 2074-0204, 2521-3504 |
| Online Access: | Get full text |
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