What is the role of ensemble entropy variance decomposition in Random Forest?

Random Forest reduces entropy variance across trees through averaging, stabilizing uncertainty estimates.

Entropy variance decomposition splits total uncertainty into expected entropy and variance of entropy across models. Random Forest reduces variance component by averaging multiple entropy estimates from different trees, leading to more stable and reliable probability predictions.