Data Scientist

MultiBoosting and Multi-Strategy Ensemble Learning

MultiBoosting [also known as Boost Bagging] combines boosting and bagging, obtaining most of boosting’s superior bias reduction together with most of bagging’s superior variance reduction. MultiBoosting is an example of Multi-Strategy Ensemble Learning.  We have shown that combining ensemble learning techniques can substantially reduce error.

MultiBoostAB is a standard component in Weka.