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• W1904191683 abstract "We introduce a complexity measure for classification problems that takes account of deterioration in classifier performance as a result of class imbalance. The measure is based on k-nearest neighbors. We explore the choices of k and the distance metric through a simulation study, and illustrate the use of our measure, and related data visualization techniques, with real datasets from the literature." @default.
• W1904191683 created "2016-06-24" @default.
• W1904191683 creator A5042934084 @default.
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• W1904191683 date "2014-05-02" @default.
• W1904191683 modified "2023-09-27" @default.
• W1904191683 title "Measurement of data complexity for classification problems with unbalanced data" @default.
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• W1904191683 doi "https://doi.org/10.1002/sam.11228" @default.
• W1904191683 hasPublicationYear "2014" @default.
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