ArticlePloS one2023
Comparison of the data mining and machine learning algorithms for predicting the final body weight for Romane sheep breed.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Evaluating machine learning algorithms for accurate prediction of yearling weight in Magra sheep.Tropical animal health and production · 2026Article
- Prediction of body weight in indigenous sheep using random forest regression, support vector regression, and classification and regression trees algorithms.Veterinary and animal science · 2025Article
- End-to-end deep SAE-DNN model for predicting Egyptian buffalo calf sex, weight, and daily milk yield.Tropical animal health and production · 2025Article
- Article
- Early prediction of final weight in nomadic sheep flocks using machine learning algorithms.Tropical animal health and production · 2025Article
- Using biometric analysis to estimate body weight in Creole goats.Open veterinary journal · 2025Article
- Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms.Veterinary medicine and science · 2025Article
- Predicting genetic merit in Harnali sheep using machine learning techniques.Tropical animal health and production · 2025Article
- Estimating body weight in Sujiang pigs using artificial neural network, nearest neighbor, and CART algorithms: a comparative study using morphological measurements.Tropical animal health and production · 2025Article
- Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms.Veterinary medicine and science · 2025Article
- Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.Tropical animal health and production · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current study aimed to predict final body weight (weight of fourth months of age to select the future reproducers) by using birth weight, birth type, sex, suckling weight, age at suckling weight, weaning weight, age at weaning weight, and age of final body weight for the Romane sheep breed. For this purpose, classification and regression tree (CART), multivariate adaptive regression splines (MARS), and support vector machine regression (SVR) algorithms were used for training (80%) and testing (20%) sets. Different data mining and machine learning algorithms were used to predict final body weight of 393 Romane sheep (238 female and 155 male animals) were used with different artificial intelligence algorithms. The best prediction model was obtained by CART model, both training and testing set. Constructed CART models indicated that sex, suckling weight, weaning weight, age of weaning weight, and age of final weight could be used as an indirect selection measure to get a superior sheep flock on the final body weight of Romane sheep. If genetically established, the Romane sheep whose sex is female, age of final weight is over 142 days, and weaning weight is over 28 kg could be chosen for affording genetic improvement in final body weight. In conclusion, the usage of CART procedure may be worthy of reflection for identifying breed standards and choosing superior sheep for meat yield in France.
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