TY  - JOUR
TI  - Use of CART and CHAID Algorithms in Karayaka Sheep Breeding
AB  - The aim of this study was to determine the effect of some factors (sex, birth type, farm type, birth weight and weighting time) on weaningweight through CART and CHAID data mining algorithms. The classification and regression trees are modern analytic techniques thatconstruct tree-based data-mining algorithms. Regression trees are used for the purpose of preliminary selection of the traits affectingthe continuous dependent variable. The studied data were consisted of 366 records from Karayaka sheep breed. The CHAID algorithmsresults revealed that; predictors such as weighting time, sex and farm type statistically influenced weaning weight Regression tree diagramconstructed by CART algorithm depicted that birth type was effect the weaning weight, and in this tree weighting time of single born lambswas affected the birth type. The predicted values and original values were correlated (P<0.05). As a result, it could be suggested that CHAIDalgorithm was found more useful biologically than CART.
AU  - TIRINK, CEM
AU  - Önder, Hasan
AU  - OLFAZ, MUSTAFA
DO  - 10.9775/kvfd.2018.20388
PY  - 2019
JO  - Kafkas Üniversitesi Veteriner Fakültesi Dergisi
VL  - 25
IS  - 1
SN  - 1300-6045
SP  - 105
EP  - 110
DB  - TRDizin
UR  - http://search/yayin/detay/387829
ER  -