Hyperparameter tuning and pipeline optimization via grid search method and tree-based autoML in breast cancer prediction

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Hyperparameter tuning and pipeline optimization via grid search method and tree-based autoML in breast cancer prediction

Automated machine learning (AutoML) has been recognized as a powerful tool to build a system that automates the design and optimizes the model selection machine learning (ML) pipelines. In this study, we present a tree-based pipeline optimization tool (TPOT) as a method for determining ML models wit...

書誌詳細
出版年:	Journal of Personalized Medicine
第一著者:	2-s2.0-85116487206
フォーマット:	論文
言語:	English
出版事項:	MDPI 2021
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116487206&doi=10.3390%2fjpm11100978&partnerID=40&md5=2128a1383f2029da26bb03cc12c198ab

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