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...
| 出版年: | Journal of Personalized Medicine |
|---|---|
| 第一著者: | |
| 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 |