RG Hyperparameter Optimization Approach for Improved Indirect Prediction of Blood Glucose Levels by Boosting Ensemble Learning

RG Hyperparameter Optimization Approach for Improved Indirect Prediction of Blood Glucose Levels by Boosting Ensemble Learning

This paper proposes an RG hyperparameter optimization approach, based on a sequential use of random search (R) and grid search (G), for improving the blood glucose level prediction of boosting ensemble learning models. An indirect prediction of blood glucose levels in patients is performed, based on...

Full description

Bibliographic Details
Main Authors: Yufei Wang, Haiyang Zhang, Yongli An, Zhanlin Ji, Ivan Ganchev
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
blood glucose level
prediction
ensemble learning
boosting
hyperparameter optimization
random search
Online Access:https://www.mdpi.com/2079-9292/10/15/1797

Internet

https://www.mdpi.com/2079-9292/10/15/1797

Similar Items