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 depends...

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Main Authors: Hasan, Md Rajib, Siraj, Fadzilah, Sainin, Mohd Shamrie
Format: Conference or Workshop Item
Language:English
Published: 2015
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Online Access:http://repo.uum.edu.my/16741/1/14.pdf
http://repo.uum.edu.my/16741/
http://doi.org/10.1063/1.4937027
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Institution: Universiti Utara Malaysia
Record Id: my.uum.repo.16741
epo.16741