A Comparative Study of Breast Cancer Detection and Recurrence Prediction Using CatBoost Classifier
In 2019, breast cancer accounted for over one-third of all cancer cases in women in Iraq. It affects both men and women, though it is more common in women. This study delves into advanced machine learning techniques – CatBoost, XGBoost, Random Forest, SVM, KNN, and Naive Bayes – to improve the dete...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
CTU Central Library
2025-05-01
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| Series: | Acta Polytechnica |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/ap/article/view/9918 |
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