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A Survey of Methods for Handling Disk Data Imbalance
Class imbalance exists in many classification problems, and since the data is designed for accuracy, imbalance in data classes can lead to classification challenges with a few classes having higher misclassification costs.
Data-level hybrid strategy selection for disk fault prediction model based on multivariate GAN
Data class imbalance is a common problem in classification problems, where minority class samples are often more important and more costly to misclassify in a classification task.
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