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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|Format:||Conference or Workshop Item|
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|Institution:||Universiti Utara Malaysia