Fig. 2

Predictive accuracy for each model in holobiont models. Predictive accuracy, defined as correlation between predicted and observed phenotypes for each model, averaged over the three partitions. The first element of each combination is the method (Bayes C or RKHS) used to model the genotype, while the element after the dot is the method used to model microbiota abundance. Each dot corresponds to the prediction accuracy obtained with a different combination of statistical method and prior, averaged over the three partitions. The dashed line is the predictive accuracy of the ensemble method