What is the role of entropy subadditivity in Random Forest aggregation?

Entropy subadditivity explains why ensemble averaging reduces overall uncertainty.

Entropy is subadditive under mixtures: the entropy of an averaged distribution is less than or equal to the sum of individual entropies. Random Forest averages multiple probability distributions from trees, leading to smoother and lower-variance uncertainty estimates across the feature space.