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Random Forest for Genomic Prediction

  • Montesinos López O
  • Montesinos López A
  • Crossa J
Springer International Publishing, (2022), 633-681
DOI: 10.1007/978-3-030-89010-0_15
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Abstract

We give a detailed description of random forest and exemplify its use with data from plant breeding and genomic selection. The motivations for using random forest in genomic-enabled prediction are explained. Then we describe the process of building decision trees,...

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Montesinos López, O. A., Montesinos López, A., & Crossa, J. (2022). Random Forest for Genomic Prediction. In Multivariate Statistical Machine Learning Methods for Genomic Prediction (pp. 633–681). Springer International Publishing. https://doi.org/10.1007/978-3-030-89010-0_15

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