Estimation of egg weight from some external and internal quality characteristics in quail by using various data mining algorithms

SENOL ÇELIK; TURGAY SENGÜL; HAKAN INCI; BÜNYAMIN SÖÐGÜT; A YUSUF SENGÜL; ÇIGDEM KUZU; TUGAY AYASAN

doi:10.56093/ijans.v87i12.79871

Authors

SENOL ÇELIK Bingöl University, Bingöl-Turkey
TURGAY SENGÜL Bingöl University, Bingöl-Turkey
HAKAN INCI Bingöl University, Bingöl-Turkey
BÜNYAMIN SÖÐGÜT Bingöl University, Bingöl-Turkey
A YUSUF SENGÜL Bingöl University, Bingöl-Turkey
ÇIGDEM KUZU Bingöl University, Bingöl-Turkey
TUGAY AYASAN Bingöl University, Bingöl-Turkey

https://doi.org/10.56093/ijans.v87i12.79871

Keywords:

CART, CHAID, Egg quality, Egg weight, Exhaustive CHAID, Quail, Regression tree

Abstract

The objective of this study was to compare the predictive performance of some data mining algorithms
implemented in the estimation of egg weight (EW), some egg quality traits measurements in quail. These quality
traits are albumen weight (AW), yolk weight (YW), specific weight (SW), albumen index (AI), albumen height
(AH), yolk index (YI), shell weight (SHW), shell thickness (SHT), Haugh unit (HU) and shape index (SI). For
comparing the predictive performance of these algorithms in Model, goodness of fit criteria such as coefficient of
determination (R2%), adjusted coefficient of determination (Adj. R2%), coefficient of variation (CV%), SD ratio,
root mean square error (RMSE), relative approximation error (RAE), and Pearson correlation coefficient, between
observed and predicted values were calculated. The heaviest average EW of 13.516 g was obtained from the
subgroup of those having AW > 8 cm. The results showed that the analysis based on exhaustive CHAID might be
useful for further researches linked with characterization of quail egg better than those provided by CART and
CHAID algorithms.

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