Akademik Veri Yönetim Sistemi
VII. International Congress on Domestic Animal Breeding, Genetics and Husbandry - 2023 (ICABGEH-23), cilt.1, ss.42-47, 2023 (Hakemli Dergi)
The aim of the present study was to predict 6th month of body weight for Saanen goat breed. For this aim, 82 Saanen goats were used which the data were taken from a private farm Samsun province of Turkiye. The data set were evaluated within the scope of multivariate adaptive regression splines algorithm. For performing the analysis, the data set was divided into 2 different data set as named train and testing set which was the proportion of 70%-30%, respectively. To evaluate the model performances, several goodness of fit criteria such as MSE, RMSE, rRMSE, MAPE, MAD, R2, R2adj and AIC were used. According to the results of this study, determination coefficients for train and testing set were determined 0.982 and 0.962 as the common goodness of fit criteria, respectively. In addition, the relationship between actual and predicted 6th month of body weight were determined as 0.991 and 0.981 for train and testing set, respectively. In conclusion, the usage of the MARS algorithm is suggested for predicting the 6th month of body weight for goat breeders.