What is the entropy rate interpretation of Random Forest ensembles?

Random Forest reduces entropy rate of prediction uncertainty through averaging.

Each tree reduces local entropy by partitioning space. The ensemble reduces global entropy rate by averaging multiple independent entropy-reducing processes. This leads to a more stable posterior class distribution estimate across feature space.