What is impurity decrease and how is it aggregated in Random Forest?

It measures how much a feature reduces node impurity across all trees.

Each split reduces impurity (Gini or entropy). These reductions are summed over all trees for each feature to compute importance scores. This aggregation can be biased toward continuous or high-cardinality features.