ArticleTropical animal health and production2023
Usage of the XGBoost and MARS algorithms for predicting body weight in Kajli sheep breed.
Article in Tropical animal health and production, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Application of Machine Learning Algorithms in Estimating Live Weight of Yucatecan Criollo Pigs Through Biometric Measurements.Animals : an open access journal from MDPI · 2026Article
- Application of XGBoost and Random Forest algorithms for body weight prediction in Blackbelly sheep using biometric measurements.BMC veterinary research · 2026Article
- Reply to the comment on: comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.Tropical animal health and production · 2026Article
- Application of Supervised Machine Learning Techniques and Digital Image Analysis for Predicting Live Weight in Anadolu-T Broilers.Animals : an open access journal from MDPI · 2025Article
- Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms.Veterinary medicine and science · 2025Article
- Article
- Predicting body weight of male Kuroiler chickens from linear body measurements using MARS and CART data-mining algorithms.Archives animal breeding · 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
- Pakistan sheep industry its constrains and future trends.Tropical animal health and production · 2024Review
- Machine learning-based early prediction of growth and morphological traits at yearling age in pure and hybrid goat offspring.Tropical animal health and production · 2024Article
- 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to utilize the XGBoost and MARS algorithms to predict present weight from body measurements. The algorithms have the potential to model nonlinear relationships between body measurements and weight, and this study attempted to find a model that provided the most accurate predictions of present weight. The current study was conducted with 152 animals in order to achieve a certain goal. To compare the model performances, goodness-of-fit criteria such as R
Indexed as
Identifiers
37500805What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.