Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning

Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning

Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation time and resources. In genomics, FS allows identifying relevant markers and designing low-density SNP...

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Bibliographic Details
Main Authors: Miriam Piles, Rob Bergsma, Daniel Gianola, Hélène Gilbert, Llibertat Tusell
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Genetics
Subjects:
feature selection
stability
machine learning
genomic prediction
SNP
pigs
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.611506/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.611506/full

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