AGNES-SMOTE: An Oversampling Algorithm Based on Hierarchical Clustering and Improved SMOTE

Table 4

AUC values on each dataset with different algorithms.

Dataset	SMOTE	K-means-SMOTE	Cluster-SMOTE	AGNES-SMOTE
Ecoli	0.9408	0.9432	0.9416	0.9444
Libra	0.9167	0.9330	0.9142	0.9395
Yeast1	0.7715	0.7722	0.7775	0.7795
Haberman	0.6905	0.7219	0.6706	0.6984
Satimage	0.9302	0.9203	0.9204	0.9209
Optical_digits	0.9979	0.9959	0.9961	0.9980
Abalone	0.8544	0.7838	0.8463	0.8549
Liver	0.7274	0.6976	0.6719	0.7192
LEV	0.7503	0.8698	0.8841	0.8703