Figure 5. Variable importance measured by mean decrease in accuracy of top 30 predictor genera in the Random Forest (RF) model.

Numbers to the right of the plot indicate the proportion of bootstrapped samples (out of 1000) that the variable featured in after backwards variable selection using varSelRF. The red asterixes indicate the 8 variables contributing to the model with the optimum out-of-bag error rate (12%).