Estimation of egg weight from some external and internal qualitycharacteristics in quail by using various data mining algorithms
Yazarlar (7)
Şenol Çelik Bingöl Üniversitesi, Türkiye
Turgay Şengül Bingöl Üniversitesi, Türkiye
Hakan İnci Bingöl Üniversitesi, Türkiye
Prof. Dr. Bünyamin Söğüt Bingöl Üniversitesi, Türkiye
Ahmet Yusuf Şengül Bingöl Üniversitesi, Türkiye
Dr. Öğr. Üyesi Çiğdem İNCİ KUZU Ağrı İbrahim Çeçen Üniversitesi, Türkiye
Tugay Ayaşan
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Indian Journal of Animal Sciences | ||
| Dergi ISSN | 0367-8318 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2017 |
| Cilt / Sayı / Sayfa | 87 / 12 / 1524–1530 | DOI | – |
| Makale Linki | http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/76631/32002 | ||
| UAK Araştırma Alanları |
Matematik Eğitimi
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| Özet |
| 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. |
| Anahtar Kelimeler |
