Impact of Hyperparameter Optimization to Enhance Machine Learning Performance: A Case Study on Breast Cancer Recurrence Prediction
Accurate and early prediction of breast cancer recurrence is crucial to guide medical decisions and treatment success. Machine learning (ML) has shown promise in this domain. However, its effectiveness critically depends on proper hyperparameter setting, a step that is not always performed systemati...
المؤلفون الرئيسيون: | , , , , , |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
MDPI AG
2024-07-01
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سلاسل: | Applied Sciences |
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.mdpi.com/2076-3417/14/13/5909 |