Estimation of Cold Carcass Weight and Body Weight from Several Body Measurements in Sheep through Various Data Mining Algorithms

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dc.contributor.authorKarabacak, Ali
dc.contributor.authorCelik, Senol
dc.contributor.authorTatliyer, Adile
dc.contributor.authorKeskin, Ismail
dc.contributor.authorErturk, Yakup Erdal
dc.contributor.authorEydurans, Ecevit
dc.contributor.authorJaved, Yasir
dc.date.accessioned2020-03-26T19:41:43Z
dc.date.available2020-03-26T19:41:43Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe goal of the present study was to compare the predictive performance of three data mining algorithms viz., CHAID, Exhaustive CHAID, and CART implemented in the estimation of cold carcass weight (CCW) and body weight (BW) from several body measurements (withers height (WH), chest depth (CD), body length (BL), hearth girth (HG) and leg circumference (LC)) measured from five sheep breeds (Akkaraman (9), Daglic (10), Kivircik (10), Merinos (10) and Karacabey Merino (8)) reared in Konya province conditions located in the Central Anatolia Region of Turkey. For measuring the predictive performance of three algorithms in Models I and II, goodness of fit criteria (coefficient of determination (R-2%), adjusted coefficient of determination (Adj.R-2%), coefficient of variation (CV%), SD ratio, Root Mean Square Error (RMSE), Relative Approximation Error (RAE), and Pearson correlation coefficient between actual and predicted values were calculated. For both Models, CHAID and CART were chosen as the best algorithms in the estimation of CCW trait, whereas only CHAID was the ideal tree-based algorithm in the estimation of BW trait. In conclusion, the determination of the best data mining algorithm on the estimation of BW and CCW traits might be utility for further researches linked with characterization of sheep breeds, and sheep breeding in very large flocks.en_US
dc.identifier.doi10.17582/journal.pjz/2017.49.5.1731.1738en_US
dc.identifier.endpage1738en_US
dc.identifier.issn0030-9923en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage1731en_US
dc.identifier.urihttps://dx.doi.org/10.17582/journal.pjz/2017.49.5.1731.1738
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35084
dc.identifier.volume49en_US
dc.identifier.wosWOS:000416295400022en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherZOOLOGICAL SOC PAKISTANen_US
dc.relation.ispartofPAKISTAN JOURNAL OF ZOOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectData miningen_US
dc.subjectCHAIDen_US
dc.subjectExhaustive CHAIDen_US
dc.subjectCARTen_US
dc.subjectCold carcassen_US
dc.subjectBody weighten_US
dc.subjectRegression tree analysisen_US
dc.titleEstimation of Cold Carcass Weight and Body Weight from Several Body Measurements in Sheep through Various Data Mining Algorithmsen_US
dc.typeArticleen_US

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