Machine Learning, Programming, Artificial Intelligence, Data Science, Technology.
results. Probably the 2 most 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