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Phenomic prediction abilities of eight machine learning algorithms for (A) rust, and (B) two and four different senescence scores in 2020 and 2021. Y axes in both (A) and (B) represent phenomic prediction accuracy; X axes correspond to cross validation where phenomic prediction accuracy was calculated over training data (CV1), and test data (CV2). In all cases, linear model (lm) displayed lowest prediction accuracy.
