Evaluating and comparing bagging and boosting of hybrid learning for breast cancer screening

Purpose: In many fields, including bioinformatics, ensemble methods have been often employed to perform prediction tasks such as classification and regression due to their ability to improve the accuracy and robustness of machine learning models. Given that the most prevalent cancer and the primary...

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Bibliographic Details

Published in:	Scientific African
Main Authors:	Asma Zizaan, Ali Idri
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Subjects:	Breast cancer screening Ensemble learning Deep hybrid learning Bagging Boosting
Online Access:	http://www.sciencedirect.com/science/article/pii/S246822762300443X