2018
DOI: 10.5194/aab-61-279-2018
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Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net

Abstract: This study was conducted to determine the inner quality characteristics of eggs using external egg quality characteristics. The variables were selected in order to obtain the simplest model using ridge, LASSO and elastic net regularization methods. For this purpose, measurements of the internal and external characteristics of 117 Japanese quail eggs were made. Internal quality characteristics were egg yolk weight and albumen weight; external quality characteristics were egg width, egg length, egg weight, shape… Show more

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Cited by 17 publications
(14 citation statements)
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“…TACS score was the frequency of TACS1‐8 appearing in the effective region. Ridge regression, a regularization method, was used in this study [31]. All the regressor variables stay in the model because of regression coefficients do not become exactly zero [32].…”
Section: Methodsmentioning
confidence: 99%
“…TACS score was the frequency of TACS1‐8 appearing in the effective region. Ridge regression, a regularization method, was used in this study [31]. All the regressor variables stay in the model because of regression coefficients do not become exactly zero [32].…”
Section: Methodsmentioning
confidence: 99%
“…Parameter is the ridge regularization function. 21 Lasso is one of the regularization approaches used in the multicollinearity problem, which performs variable selection and parameter estimation together. 22 The objective function of the method is based on minimizing the sum of the squares of residuals under the L1 norm.…”
Section: Logistic Regression Based On Regularization Techniquesmentioning
confidence: 99%
“…Finally, a regression model was developed to predict YW from EW and SI, which explained 74% of the observed variation. In laying hens, the weight of the egg can be adequately predicted using the values of the albumen weight, yolk and shell with an R 2 = 93.4%, the weight of albumen from the weight of the egg and shell (R 2 = 77%) and the weight of the yolk using the weight of the egg (R2 = 60%) in a unique way (Orhan et al, 2016;Çiftsüren et al, 2018). On the other hand, in Guinea fowl the egg weight can be accurately predicted from the length (R 2 = 21%) and the width of the egg (R 2 = 16%), the weight of the shell using length as predictors, the width and weight (R 2 = 8.8%) and the weight of the yolk based on the weight of the egg (R 2 = 60%) (Fajemilehin, 2008).…”
Section: Analysis Of the Relationships Between External And Internal Egg Quality Traitsmentioning
confidence: 99%
“…Various authors suggest evaluating the relationships between some external and internal traits for a better understanding of the egg quality parameters (Khurshid et al, 2003;Abanikannda and Leigh, 2007;Alkan et al, 2015;Baykalir and Aslan, 2020). For example, the traits of weight, length and width of the egg, shape index and shell weight are highly correlated, and in turn, can be used as predictors of internal egg traits such as the weight of yolk and albumen, to facilitate their evaluation without the need to break the egg (Fajemilehin, 2008;Çiftsüren and Akkol, 2018).…”
Section: Introductionmentioning
confidence: 99%