Abstract
Use of Mars Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds
Highlights
The generalized cross validation (GCV) value developed by Craven and Wahba (1979) in the selection criteria of the most suitable Multivariate Adaptive Regression Spline (MARS) model measures the accuracy of the mean squares errors (Sevimli, 2009)
In the research, the carcass yield was analyzed with the MARS method
When the breed is Limousine, LIVEWEIGHT has a negative effect on carcass weight in live animals with
Summary
Abstract This research was carried out with the purpose of estimating hot carcass weight by using parameters such as race, carcass weight and age with Multivariate Adaptive Regression Spline (MARS) algorithm. The generalized cross validation (GCV) value developed by Craven and Wahba (1979) in the selection criteria of the most suitable MARS model measures the accuracy of the mean squares errors (Sevimli, 2009).
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