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

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