Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data

Research article (Journal of Dairy Science, 2021) · cited 37× · AI/ML
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Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data

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Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data is a scholarly article[1].

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  • Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-performance-of-machine-learning-methods-and-variable-selection-methods-for-predicting-difficult-to-measur
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BibTeX @misc{4ortxyz_evaluating-the-performance-of-machine-learning-methods-and-variable-selection-methods-for-predicting-difficult-to-measur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-performance-of-machine-learning-methods-and-variable-selection-methods-for-predicting-difficult-to-measur}, note = {Accessed: 2026-05-24}}
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