Figure 1From: SMOTE for high-dimensional class-imbalanced dataEffect 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.Back to article page