Figure 3 : Multi-way importance plot illustrating importance measures of each variable in the random forest decision trees. Significant variables (that are used significantly more often for splitting the decision trees than if the selection was random) are coloured according to the p-value (*** = <0.001, ** = prediction accuracy are two measures correlated to the reduction of misclassification when the variable is selected in the decision tree of the random forest model.