How does Random Forest interact with curse of dimensionality?

Random Forest mitigates but does not eliminate the curse of dimensionality.

In high-dimensional spaces, data becomes sparse, making meaningful splits harder. Random feature selection helps reduce effective dimensionality per tree, but overall sparsity still impacts performance. Ensemble averaging stabilizes predictions but cannot fully overcome exponential sparsity growth.