University of Vigo Researcher Adds New Findings in the Area of Breast Cancer (Impact of Hyperparameter Optimization to Enhance Machine Learning Performance: A Case Study on Breast Cancer Recurrence Prediction).

Předmět:	CANCER relapse CANCER case studies MACHINE learning BREAST cancer MACHINE performance
Zdroj:	Women's Health Weekly; 7/25/2024, p1249-1249, 1p
Abstrakt:	A recent study conducted by researchers at the University of Vigo in Spain explored the impact of hyperparameter optimization on the performance of machine learning algorithms in predicting breast cancer recurrence. The study found that proper hyperparameter setting is crucial for accurate predictions, and neglecting this step can lead to the selection of suboptimal models. The researchers compared the performance of five machine learning algorithms before and after hyperparameter optimization and found that more complex algorithms demonstrated superior performance after optimization. The study highlights the importance of hyperparameter selection in the development of machine learning models for cancer recurrence prediction. [Extracted from the article]
Databáze:	Complementary Index
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