The ensemblistic methods put in competition several trees when classifying a new individual. Among these are :
In set methods, rather than having one very complex estimator that is supposed to do everything, we construct several estimators of lesser individual quality, having a fragmented view of the problem. These multiple estimators are then combined to provide a global view.