Ensemble Data Mining Methods

摘要: Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve better prediction accuracy than any individual could on their own. The basic goal when designing an ensemble is same establishing a committee people: each member should be competent possible, but members complementary one another. If not complementary, Le., if they always agree, then unnecessary---any sufficient. few make error, probability high remaining can correct this error. Research in has largely revolved around ensembles consisting yet models.