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We present a new outlier detection method which is appropriate for classification problems. It combines estimating the overall probability density and sequential ranking of the data according to observed changes in performance on validation sets. The method has been implemented on ten widely used benchmark datasets and a spam email filtering application. Evaluated by six popular machine learning methods,...
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