Name: Bagging and Random Forests - Random Forests (RF)
Uploaded: 2021-09-20T00:00:00Z
Description: Bagging is an ensemble method involving training the same algorithm many times using different subsets sampled from the training data. In this chapter, you'll understand how bagging can be used to create a tree ensemble. You'll also learn how the random forests algorithm can lead to further ensemble diversity through randomization at the level of each split in the trees forming the ensemble.