This article explores the significance of modifying SHAP (SHapley Additive exPlana tions) values to enhance model interpretability in machine learning. SHAP values provide a fair attribution of feature contributions, making AI-driven decision-making more trans parent and reliable. However, raw SHAP values can sometimes be difficult to interpret due to feature interactions, noise, and inconsistencies in scale. The article discusses key techniques for modifying SHAP values, including feature aggregation, normalization, cus tom weighting, and noise reduction, to improve clarity and relevance in explanations. It also examines how these modifications align interpretations with real-world needs, ensuring that SHAP-based insights remain practical and actionable. By strategically refining SHAP values, data scientists can derive more meaningful explanations, improving trust in AI models and enhancing decision-making processes. The article provides a structured approach to modifying SHAP values, offering practical applications and benefits across various domains.
| Mualliflar | Sharipov, D.K., Saidov, A.D., Шарипов, Д.К., Саидов, А.Д. |
|---|---|
| Jurnal | Ҳисоблаш ва амалий математика муаммолари |
| Nashriyot | Тошкент ахборот технологиялари университети қошидаги, Ахборот-коммуникация технологиялари илмий-инновацион, маркази |
| ISSN | 2181-8460, 2181-046X |
| Nashr sanasi | 2025-05-15 |
| Son | 2 |
| Betlar | 114-122 |
| Til | Ingliz |
| DOI | 10.71310/pcam.2_64.2025.10 |
| Indeksga qo‘shilgan | 2026-08-27 |
DOI: 10.71310/pcam.2_64.2025.10 · Maqolaning asl sahifasi
model interpretability, feature importance, normalization, AI transparency, интерпретабельность модели, важность признаков, нормализация, прозрачность ИИ
| APA | Sharipov, D.K., Saidov, A.D., Шарипов, Д.К., & Саидов, А.Д. (2025). Modified SHAP approach for interpretable prediction of cardiovascular complications. Ҳисоблаш ва амалий математика муаммолари, (2), 114-122. https://doi.org/10.71310/pcam.2_64.2025.10 |
|---|---|
| GOST (OAK) | Sharipov, D.K. va b. Modified SHAP approach for interpretable prediction of cardiovascular complications // Ҳисоблаш ва амалий математика муаммолари. – 2025. – № 2. – P. 114-122. – DOI: 10.71310/pcam.2_64.2025.10. |
| MLA | Sharipov, D.K., Saidov, A.D., Шарипов, Д.К., and Саидов, А.Д. “Modified SHAP approach for interpretable prediction of cardiovascular complications.” Ҳисоблаш ва амалий математика муаммолари, (2), 114-122, 2025. https://doi.org/10.71310/pcam.2_64.2025.10 |
| Chicago | Sharipov, D.K., Saidov, A.D., Шарипов, Д.К., and Саидов, А.Д. “Modified SHAP approach for interpretable prediction of cardiovascular complications.” Ҳисоблаш ва амалий математика муаммолари, (2), 114-122 (2025). https://doi.org/10.71310/pcam.2_64.2025.10 |
| Harvard | Sharipov, D.K., Saidov, A.D., Шарипов, Д.К., and Саидов, А.Д (2025) ‘Modified SHAP approach for interpretable prediction of cardiovascular complications’, Ҳисоблаш ва амалий математика муаммолари, (2), 114-122. https://doi.org/10.71310/pcam.2_64.2025.10 |
| BibTeX | @article{sharipovdk2025,
title = {Modified SHAP approach for interpretable prediction of cardiovascular complications},
author = {Sharipov, D.K. and Saidov, A.D. and Шарипов, Д.К. and Саидов, А.Д.},
journal = {Ҳисоблаш ва амалий математика муаммолари},
year = {2025},
number = {2},
pages = {114-122},
doi = {10.71310/pcam.2_64.2025.10},
url = {https://doi.org/10.71310/pcam.2_64.2025.10}
} |
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