Improving ensemble decision tree performance using Adaboost and Bagging

Ensemble classifier systems are considered as one of the most promising in medical data classification and the performance of deceision tree classifier can be increased by the ensemble method as it is proven to be better than single classifiers. However, in a ensemble settings the performance depend...

Ausführliche Beschreibung

Bibliographische Detailangaben

Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bagging Classifiers Decision trees Machine learning Performance enhancement Regression models
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!