Embedding Undersampling Rotation Forest for Imbalanced Problem
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DOI: 10.1155/2018/6798042
Abstract: Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work… read more here.
Keywords: undersampling rotation; class; rotation forest; embedding undersampling ... See more keywords