varshith

                           Ensemble learning In  statistics  and  machine learning ,  ensemble methods  use multiple learning algorithms to obtain better  predictive performance  than could be obtained from any of the constituent learning algorithms alone. Unlike a  statistical ensemble  in statistical mechanics, which is usually infinite, a machine learning ensemble consists of only a concrete finite set of alternative models, but typically allows for much more flexible structure to exist among those alternatives. Overview Supervised learning  algorithms perform the task of searching through a hypothesis space to find a suitable hypothesis that will make good predictions with a particular problem. [4]  Even if the hypothesis space contains hypotheses that are very well-suited for a particular problem, it may be very difficult to find a good one. Ensembles combine multiple hypotheses to form a (hopefully) better hypothesis. The term  ensemble  is usually reserved for methods that gener