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Articles | Volume 61, issue 3
Articles | Volume 61, issue 3
https://doi.org/10.5194/aab-61-279-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/aab-61-279-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 61, issue 3
Original study
 | 
16 Jul 2018
Original study |  | 16 Jul 2018

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net

Mehmet Nur Çiftsüren and Suna Akkol

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Latest update: 14 Dec 2024
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Short summary
This study was conducted to determine inner egg quality characteristics using external egg quality characteristics and to select variables in order to obtain the simplest model using ridge, LASSO and elastic net. The goodness of fit values of the regression estimating equations for egg yolk weight were 58.34 %, 59.17 % and 59.11 % using the ridge, LASSO and elastic net methods, respectively; for egg albumen weight they were 75.60 % for ridge, 75.94 % for LASSO and 75.81 % for elastic net.
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