What is the role of entropy concentration in Random Forest split selection?

Entropy concentration determines how quickly splits reduce uncertainty in feature space.

As trees grow, entropy decreases as nodes become purer. Random Forest accelerates entropy concentration across ensemble trees, producing multiple independent low-entropy partitions. The aggregated effect is a smoother global reduction in uncertainty, approximating conditional class distributions.