A comparative study of multiple linear regression and machine learning methods to predict guinea pig carcass tissue composition.
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| Title: | A comparative study of multiple linear regression and machine learning methods to predict guinea pig carcass tissue composition. |
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| Authors: | Barba L; Information Technology Engineering, Engineering Faculty, Universidad Nacional de Chimborazo, Riobamba, EC060150, Ecuador. lbarba@unach.edu.ec.; Animal Production and Industrialization Research Unit, Engineering Faculty, Universidad Nacional de Chimborazo, Riobamba, EC060150, Ecuador. lbarba@unach.edu.ec.; Facultad de Ingeniería, Avda. Antonio José de Sucre km. 1.5, Riobamba, 060150, Ecuador. lbarba@unach.edu.ec., Sánchez-Macías D; Animal Production and Industrialization Research Unit, Engineering Faculty, Universidad Nacional de Chimborazo, Riobamba, EC060150, Ecuador., Rodríguez N; School of Informatics Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, 2362807, Chile. |
| Source: | Tropical animal health and production [Trop Anim Health Prod] 2025 Oct 03; Vol. 57 (8), pp. 423. Date of Electronic Publication: 2025 Oct 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 1277355 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-7438 (Electronic) Linking ISSN: 00494747 NLM ISO Abbreviation: Trop Anim Health Prod Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-7438 |
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| DOI: | 10.1007/s11250-025-04680-5 |
