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Comparison of the Predictive Capabilities of Several Data Mining Algorithms and Multiple Linear Regression in the Prediction of Body Weight by Means of Body Measurements in the Indigenous Beetal Goat of Pakistan

Comparison of the Predictive Capabilities of Several Data Mining Algorithms and Multiple Linear Regression in the Prediction of Body Weight by Means of Body Measurements in the Indigenous Beetal Goat of Pakistan

Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2


1Department of Animal Science, Igdir University, Igdir, Turkey

2Laboratory of Biostatistics, Department of Ruminants Science, West Pomeranian University of Technology, Doktora Judyma 10, 71-466 Szczecin, Poland

3Department of Livestock and Poultry Production, Bahauddin Zakariya University, Multan, Pakistan

4Department of Animal Science, Bingol University, Bingol, Turkey

5Department of Agricultural Economics, Igdir University, Igdir, Turkey


*         Corresponding author: [email protected]

 

Figure 1

The layout of CART

Figure 2

The layout of the CHAID tree

Figue 3

Observed vs. predicted values of goats’ body weight for the prediction models. A, CART; B, CHAID; C, RBF; D, MLP1; E, MLP2; F, MR

Equation 1
Equation 2
Equation 3
Equation 4
Equation 5
Equation 6
Equation 7
Equation 8
Equation 9
Equation 10

Pakistan Journal of Zoology

October

Pakistan J. Zool., Vol. 56, Iss. 5, pp. 2001-2500

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