An oversampling method for multi-class imbalanced data based on composite weights
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DOI: 10.1371/journal.pone.0259227
Abstract: To solve the oversampling problem of multi-class small samples and to improve their classification accuracy, we develop an oversampling method based on classification ranking and weight setting. The designed oversampling algorithm sorts the data within… read more here.
Keywords: class imbalanced; imbalanced data; class; multi class ... See more keywords