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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2023
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| Online Access: | http://journalarticle.ukm.my/22553/1/STT%201.pdf http://journalarticle.ukm.my/22553/ https://www.ukm.my/jsm/ |
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