What is the role of VC dimension in Random Forest complexity?

Updated May 17, 2026

Short answer

Random Forest has very high VC dimension due to ensemble of deep decision trees.

Deep explanation

Each decision tree has high VC dimension, and combining many trees increases hypothesis space complexity further. However, randomness and averaging act as regularizers, preventing overfitting despite high theoretical capacity.

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