Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms

ABSTRACT This study evaluates the effectiveness of XGBoost and LightGBM algorithms for estimating the live weight of Holstein×Zebu crossbred heifers. The study compares the performance of both algorithms using a wide range of biometric measurements and tests various hyperparameter settings. The rese...

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Hlavní autoři:	Jose Herrera‐Camacho, Cem Tırınk, Rosa Inés Parra‐Cortés, Lütfi Bayyurt, Rashit Uskenov, Karlygash Omarova, Aizhan Makhanbetova, Kadyrbai Chekirov, Alfonso Juventino Chay‐Canul
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2025-07-01
Edice:	Veterinary Medicine and Science
Témata:	body weight prediction crossbred heifer LightGBM machine learning XGBoost
On-line přístup:	https://doi.org/10.1002/vms3.70422
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