دورية أكاديمية
Body weight prediction using different data mining algorithms in Thalli sheep: A comparative study
| العنوان: | Body weight prediction using different data mining algorithms in Thalli sheep: A comparative study |
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| المؤلفون: | Ansar Abbas, Muhammad Aman Ullah, Abdul Waheed |
| المصدر: | Veterinary World, Vol 14, Iss 9, Pp 2332-2338 (2021) |
| بيانات النشر: | Veterinary World |
| سنة النشر: | 2021 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | artificial neural network, body weight, classification and regression tree, chi-square automatic interaction detector, exhaustive chi-square automatic interaction detector, thalli sheep, Animal culture, SF1-1100, Veterinary medicine, SF600-1100 |
| الوصف: | Background and Aim: The Thalli sheep are the main breed of sheep in Pakistan, and an effective method to predict their body weight (BW) using linear body measurements has not yet been determined. Therefore, this study aims to establish an algorithm with the best predictive capability, among the Chi-square automatic interaction detector (CHAID), exhaustive CHAID, artificial neural network, and classification and regression tree (CART) algorithms, in live BW prediction using selected body measurements in female Pakistani Thalli sheep. Materials and Methods: A total of 152 BW records, including nine continuous predictors (wither height, body length [BL], head length, rump length, tail length, head width, rump width, heart girth [HG], and barrel depth), were utilized. The coefficient of determination (R2), standard deviation ratio, root-mean-square error (RMSE), etc., were calculated for each algorithm. Results: The R2 (%) values ranged from 49.28 (CART) to 64.48 (CHAID). The lowest RMSE was found for CHAID (2.61), and the highest one for CART (3.12). The most significant predictors were the HG of live BW for all algorithms. The heaviest average BW (41.12 kg) was observed in the subgroup of those having a BL of >73.91 cm (Adjusted p=0.045). Conclusion: Among the algorithms, CHAID provided the most appropriate predictive capability in the prediction of live BW for female Thalli sheep. In general, the applied algorithms accurately predicted the BW of Thalli sheep, which can be very helpful in deciding on the standards, available drug doses, and required feed amount for animals. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 0972-8988 2231-0916 |
| العلاقة: | http://www.veterinaryworld.org/Vol.14/September-2021/6.pdfTest; https://doaj.org/toc/0972-8988Test; https://doaj.org/toc/2231-0916Test; https://doaj.org/article/d636890003aa4f0893c7e444c6697644Test |
| DOI: | 10.14202/vetworld.2021.2332-2338 |
| الإتاحة: | https://doi.org/10.14202/vetworld.2021.2332-2338Test https://doaj.org/article/d636890003aa4f0893c7e444c6697644Test |
| رقم الانضمام: | edsbas.17046967 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 09728988 22310916 |
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| DOI: | 10.14202/vetworld.2021.2332-2338 |