Learning misclassification costs for imbalanced classification on gene expression data
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DOI: 10.1186/s12859-019-3255-x
Abstract: Cost-sensitive algorithm is an effective strategy to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically based on user expertise, which leads to unstable performance of cost-sensitive classification. Therefore, an efficient and… read more here.
Keywords: classification; cost weights; cost; optimal cost ... See more keywords