The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification

The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification

Breast cancer is one of the most common causes of death among women, and early diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used machine-learning breast cancer prediction and diagnosis methods. We use synthetic minority over-sampling to handle imbalanced da...

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Bibliographic Details
Main Authors: Mahesh T R, Vinoth Kumar V, Dhilip Kumar V, Oana Geman, Martin Margala, Manisha Guduri
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Healthcare Analytics
Subjects:
Machine learning
Breast cancer
Diagnostic analytics
Ensemble method
Cross-validation
Class-balancing
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442523001144

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