Tree methods for imbalanced data: Project Home – R-Forge

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In supervised learning real data are very often imbalanced. This imbalance impact the learning quality. This package provides several decision tree methods especially designed for classification of imbalanced categorical data.

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Registered: 2013-05-07 21:36
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Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge