RFE-based feature selection to improve classification accuracy for morphometric analysis of craniodental characters of house rats

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RFE-based feature selection to improve classification accuracy for morphometric analysis of craniodental characters of house rats

In conventional morphometrics, researchers often collect and analyze data using large numbers of morphometric features to study the shape variation among biological organisms. Feature selection is a fundamental tool in machine learning which is used to remove irrelevant and redundant features. Recur...

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Bibliographic Details
Main Authors:	Aneesha Balachandran Pillay, Dharini Pathmanathan, Arpah Abu, Hasmahzaiti Omar
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2023
Online Access:	http://journalarticle.ukm.my/22553/ http://journalarticle.ukm.my/22553/1/STT%201.pdf

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