An Ensemble Framework to Improve the Accuracy of Prediction Using Clustered Random-Forest and Shrinkage Methods

An Ensemble Framework to Improve the Accuracy of Prediction Using Clustered Random-Forest and Shrinkage Methods

Nowadays, in the topics related to prediction, in addition to increasing the accuracy of existing algorithms, the reduction of computational time is a challenging issue that has attracted much attention. Since the existing methods may not have enough efficiency and accuracy, we use a combination of...

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Bibliographic Details
Main Authors: Zari Farhadi, Hossein Bevrani, Mohammad-Reza Feizi-Derakhshi, Wonjoon Kim, Muhammad Fazal Ijaz
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
random forest
machine learning
ensemble learning
clustering
lasso
elastic net
Online Access:https://www.mdpi.com/2076-3417/12/20/10608

Internet

https://www.mdpi.com/2076-3417/12/20/10608

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