Bagged trees vs. Random Forest
What is the main difference between bagged trees and the Random Forest algorithm?
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In Random Forest, the decision trees are trained on a random subset of the rows, but in bagging, they use all the rows.
In Random Forest, only a subset of features are selected at random at each split in a decision tree. In bagging, all features are used.
In Random Forest, there is randomness. In bagging, there is no randomness.
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