Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
predictive accuracy as some other popular machine learning algorithms. This is because classification and regression decision trees tend to make overly complicated decision boundaries, resulting in increased model variance that leads to overfitting. This in turn leads to more erratic predictions