Open access Jurnal SINTA 1
Explainable extreme boosting model for breast cancer diagnosis
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 5 (2023)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2023-10-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
This study investigates the Shapley additive explanation (SHAP) of the extreme boosting (XGBoost) model for breast cancer diagnosis. The study employed Wisconsin’s breast cancer dataset, characterized by 30 features extracted from an image of a breast cell. SHAP module generated different explainer values representing the impact of a breast cancer feature on breast cancer diagnosis. The experiment computed SHAP values of 569 samples of the breast cancer dataset. The SHAP explanation indicates perimeter and concave points have the highest impact on breast cancer diagnosis. SHAP explains the XGB model diagnosis outcome showing the features affecting the XGBoost model. The developed XGB model achieves an accuracy of 98.42%.
Collaboration network of the authors
20 authors · 61 co-authorship links · 44 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- St. Peter's Institute of Higher Education and Research
- Injibara University
- Koneru Lakshmaiah Education Foundation
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
- R.V. College of Engineering
- Afe Babalola University
- Aksum University
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Napa Komal Kumar | St. Peter's Institute of Higher Education and Research | 5 |
| Amogne Andualem Ayalew | Mizan Tepi University | 3 |
| Melaku Lake Tegegne | Injibara University | 3 |
| Bommy Manivannan | Affiliation unknown | 3 |
| Battula Krishna Prasad | Koneru Lakshmaiah Education Foundation | 3 |
| R. Subhashni | St. Peter's Institute of Higher Education and Research | 2 |
| Crescent Onyebuchi Omeje | Rivers State University | 2 |
| Sepiribo Lucky Braide | University of Port Harcourt | 2 |
| Elisha Didam Markus | Central University of Technology | 2 |
| Joy Nnenna Eneh | University of Nigeria | 2 |
| Thankgod Izuchukwu Ozue | Saveetha University | 2 |
| Komal Kumar N | Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | 1 |
| D. Vigneswari | Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | 1 |
| Pramod Sekharan Nair | Aksum University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.