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Comparing the Predictive Ability of Machine Learning Methods in Predicting the Live Body Weight of Beetal Goats of Pakistan

Comparing the Predictive Ability of Machine Learning Methods in Predicting the Live Body Weight of Beetal Goats of Pakistan

Farhat Iqbal1, Abdul Waheed2*, Zil-e-Huma3 and Asim Faraz2

1Department of Statistics, University of Balochistan, Quetta, Pakistan
2Departmentof Livestock and Poultry Production, Faculty of Veterinary Sciences, Bahauddin Zakariya University, Multan, Pakistan
3Department of Zoology, Sardar Bahadur Khan Women’s University, Quetta, Pakistan

*      Corresponding author: dobaara@gmail.com

Fig. 1.

Observed vs predicted body weights of beetal goats using machine learning methods.

Fig. 2.

Variable importance by Gradient Boosting Machine method.

Fig. 3.

10-fold cross validationvaluesof R2, RMSE, MAE and MAPE for Random Forests.

Pakistan Journal of Zoology

April

Pakistan J. Zool., Vol. 56, Iss. 2, pp. 503-1000

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