An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing

An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing

Abstract Breast cancer is the primary cause of death among women globally, and it is becoming more prevalent. Early detection and precise diagnosis of breast cancer can reduce the disease’s mortality rate. Recent advances in machine learning have benefited in this regard. However, if the dataset con...

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Bibliographic Details
Main Authors: Indu Chhillar, Ajmer Singh
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Artificial Intelligence
Subjects:
Breast cancer
Machine learning
WDBC
SMOTE-ENN
Soft voting classifier
Boruta
Online Access:https://doi.org/10.1007/s44163-025-00224-w
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https://doi.org/10.1007/s44163-025-00224-w

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