Selective ensemble of decision trees

摘要: An ensemble is generated by training multiple component learners for a same task and then combining their predictions. In most algorithms, all the trained are employed in constituting an ensemble. But recently, it has been shown that when neural networks, may be better to some instead of learners. this paper, claim generalized situations where decision trees. Experiments show ensembles selective algorithm, which selects C4.5 trees make up ensemble, not only smaller size but also stronger generalization than non-selective algorithms.