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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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | 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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