Which ensemble method builds multiple decision trees independently using a random subset of features and merges their results by voting or averaging?

Random Forest

Random Forests improve upon Bagging by introducing feature randomness, where each split in a tree is chosen from a random subset of features. This further decorrelates the trees, leading to lower variance and better generalization.