The conversation between human and AI assistant.
How do random forests and boosted decision trees compare?
Can you tell me about the differences between random forests and boosted decision trees?
Certainly! Random forests and boosted decision trees are both ensemble learning techniques used in machine learning. Random forests use decision trees as base learners and create a multitude of trees that are trained on random subsets of the data. Boosted decision trees, on the other hand, are built sequentially and focus on correcting the errors made by the previous model.