Fig. 3: Relative influence of model features ranked.
From: Viral genomic features predict Orthopoxvirus reservoir hosts
The most important predictor variables in BRT analysis are shown for (a) the host exposure model, (b) the susceptible host model, and (c) the link prediction model trained on a combination of host-virus traits, including the principal components (PCs) of viral accessory gene data, with explicit pairing of host-virus links as the response. Each horizontal bar plots the variability in the relative influence of the predictor variables as measured across 100 random partitions of training (70%) and test (30%) data. Boxplots show the median and interquartile range, whiskers are the extremes, and circles are additional outliers.
