Cleansing of inconsistent sample in linear regression model based on rough sets theory

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Cleansing of inconsistent sample in linear regression model based on rough sets theory

The linear regression model is one of the most common and easiest algorithms used in machine learning for predictive analysis purposes. However, this model performs well under strict assumptions such as the number of observations, the linearity of variables, multicollinearity, homoskedasticity, reli...

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Bibliographic Details
Main Authors:	Rasyidah, Rasyidah, Efendi, Riswan, Mohd. Nawi, Nazri, Mat Derisf, Mustafa, Aqil Burney, S.M.
Format:	Article
Language:	English
Published:	Elsevier 2023
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/8595/ http://eprints.uthm.edu.my/8595/1/J15770_be8201f8b61aa5ded65f238b957b8cf5.pdf

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