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Figure 1 | BMC Bioinformatics

Figure 1

From: SMOTE for high-dimensional class-imbalanced data

Figure 1

Effect of SMOTE and the number of variables on the Euclidean distance between test samples and training set samples. Left panel: distribution of the Euclidean distance between test and training set samples (original or SMOTE); right panel: proportion of SMOTE samples selected as nearest neighbors of test samples.

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