Random Forests introduce randomness in two main ways: by bootstrapping the data and by selecting a random subset of ______ for every split.
- Data Points
- Features
- Leaves
- Trees
Random Forests introduce randomness by selecting a random subset of "Features" for every split in each tree. This helps in creating diverse trees, which collectively improve the overall performance and reduce the risk of overfitting.
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