These belief function methods that are carried out within the machine learning domain typically leverage a fusion solution of varied ensemble strategies to greater take care of the learner's decision boundary, lower samples, and ambiguous course difficulties that conventional machine learning approach are likely to get issues resolving.[four][nine]