Iterative Tuning of Tree-Ensemble-Based Models' parameters Using Bayesian Optimization for Breast Cancer Prediction

Iterative Tuning of Tree-Ensemble-Based Models' parameters Using Bayesian Optimization for Breast Cancer Prediction

The study presents a method for iterative parameter tuning of tree ensemble-based models using Bayesian hyperparameter tuning for states prediction, using breast cancer as an example. The proposed method utilizes three different datasets, including the Wisconsin Diagnostic Breast Cancer (WDBC) datas...

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Bibliographic Details
Main Authors: Ayman Alsabry, Malek Algabri
Format: Article
Language:English
Published: Russian Academy of Sciences, St. Petersburg Federal Research Center 2024-01-01
Series:Информатика и автоматизация
Subjects:
iterative tuning
tree ensemble-based models
bayesian optimization
breast cancer
machine learning
Online Access:http://ia.spcras.ru/index.php/sp/article/view/15997

Internet

http://ia.spcras.ru/index.php/sp/article/view/15997

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