Coverage-based resampling: Building robust consolidated decision trees.

Knowledge-Based Systems(2015)

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摘要
•Coverage-based resampling determines the number of samples to be used based on dataset’s class distribution.•Consolidated trees achieve better results for most performance measures when using higher coverage values.•CTC ranks first against multiple genetics-based and classical algorithms for rule induction.•CTC combined with SMOTE tops state of the art techniques designed to tackle class imbalance.
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关键词
Comprehensibility,Consolidated decision trees,Class imbalance,Resampling,Inner ensembles
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