Machine Learning, Data Science, Open Data, Decision Tree, Artificial Intelligence.
common techniques to perform ensemble DTs are Bagging and Boosting. Bagging (or Bootstrap Aggregation) is used when the goal is to reduce the variance of a DT. Variance relates to the fact that DTs can be quite unstable because small variations in the data might result in a completely different