Figure 2From: SMOTE for high-dimensional class-imbalanced dataClassification results using low-dimensional data. Predictive accuracy (overall (PA) and class-specific (PA1, PA2)) achieved with SMOTE (black symbols) or without any class-imbalance correction (NC gray symbols) for 7 types of classifiers, for different training set sample sizes (40, 80 or 200 samples).Back to article page