Figure 3

Plot showing importance of the variables in the random forest model. The importance is determined by the amount of reduction in uncertainty caused by arranging a variable in the tree structure. If a variable causes a large reduction in uncertainty, it occurs high up in the classification hierarchy and should thus be considered important.