Liu regression after random forest for prediction and modeling in high dimension

In the modern era, using advanced technology, we have access to data with many features, and therefore, feature engineering has become a vital task in data analysis. One of the challenges in model estimation is to combat multicollinearity in high‐dimensional data problems where the number of feature...

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Bibliographic Details

Published in:	Journal of chemometrics Vol. 36; no. 4
Main Authors:	Arashi, Mohammad, Lukman, Adewale F., Algamal, Zakariya Y.
Format:	Journal Article
Language:	English
Published:	Chichester Wiley Subscription Services, Inc 01-04-2022
Subjects:	Algorithms Data analysis high dimension Liu multicollinearity QSAR random forest Regression coefficients test mean squared error
Online Access:	Get full text
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