BENEFITS OF CREATING ENSEMBLES OF CLASSIFIERS

In recent years, there has been an explosion of papers in the data mining community discussing how to combine models or model predictions, and the reduction in model error that results. By combining predictions, more robust and accurate models nearly always improve without the need for the high-degree of fine tuning required for single-model solutions. Typically, the models for th