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...
Saved in:
| Main Authors: | Jose Herrera‐Camacho, Cem Tırınk, Rosa Inés Parra‐Cortés, Lütfi Bayyurt, Rashit Uskenov, Karlygash Omarova, Aizhan Makhanbetova, Kadyrbai Chekirov, Alfonso Juventino Chay‐Canul |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
|
| Series: | Veterinary Medicine and Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/vms3.70422 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptation and Growth Performance of F1 Progeny of Crossbred Sheep in Bangladesh
by: Nure Hasni Desha, et al.
Published: (2024-12-01) -
Reliability and concordance of Schaeffer and Agarwal formulae for predicting crossbred dairy cattle weight
by: Marcos Eduardo Carrasco-Guzman, et al.
Published: (2025-03-01) -
Comparison of CatBoost and LightGBM Models for Air Humidity Prediction
by: Tangkas Surya Wibawa, et al.
Published: (2025-06-01) -
A LightGBM-Based Power Grid Frequency Prediction Method with Dynamic Significance–Correlation Feature Weighting
by: Jie Zhou, et al.
Published: (2025-06-01) -
A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models
by: Adel Alarbi, et al.
Published: (2025-02-01)