Random Balance

Volume: 85, Pages: 96 - 111
Published: Sep 1, 2015
Abstract
Proportions of the classes for each ensemble member are chosen randomly.Member training data: sub-sample and over-sample through SMOTE.RB-Boost combines Random Balance with AdaBoost.M2.Experiments with 86 data sets demonstrate the advantage of Random Balance. In Machine Learning, a data set is imbalanced when the class proportions are highly skewed. Imbalanced data sets arise routinely in many application domains and pose a challenge to...
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Paper Details
Title
Random Balance
Published Date
Sep 1, 2015
Volume
85
Pages
96 - 111
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