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Prediction of Body Weight of Turkish Tazi Dogs using Data Mining Techniques: Classification and Regression Tree (CART) and Multivariate Adaptive Regression Splines (MARS)

Prediction of Body Weight of Turkish Tazi Dogs using Data Mining Techniques: Classification and Regression Tree (CART) and Multivariate Adaptive Regression Splines (MARS)

Senol Celik1,* and Orhan Yilmaz2

1Department of Animal Science, Faculty of Agriculture, Bingol University, Bingol, Turkey
2Vocational High School of Posof, Ardahan University, Posof, Ardahan, Turkey

*      Corresponding author: senolcelik@bingol.edu.tr

 

Fig. 1.

Decision tree diagram for BW in Turkish Tazi dogs using CART algorithm.

Fig. 2.

Observed values of body weight and estimated values obtained from CART (A) and MARS (B) models.

R(t)
y(t)
Nw(t)
Q(s,t)
BF1(x)
BF2(x)
BF1(x)
BF2(x)
y
Equation 4
Equation 5
Coefficient of Determination
Adjusted Coefficient of Determination
Standard Deviation Ratio
Root-mean-square error (RMSE)
Relative root mean squared error (RRMSE)
Performance index (ρ)

Pakistan Journal of Zoology

December

Vol. 50, Iss. 6, Pages 1999-2398

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