Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
trees and use them as classifiers, creating a random forest. However, there remains a major problem with bagging decision trees: What happens if the individual decision trees are too similar? In other words, what if they all ask the same questions? Then we lose the benefit of having multiple