A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph

Table 7

AUC.

Dataset	SVM	CS-EN-HN	SMOTE + C4.5	SMOTE-RSB* + C4.5	NRSBoundary-SMOTE + C4.5	N-HyperGraph
Bupa	0.5181	0.8928	0.6468	0.6652	0.6401	0.6427
Colic	0.5645	0.8265	0.7960	0.7855	0.8102	0.9699
Reprocessed	0.5000	0.6750	0.7896	0.7565	0.7817	0.7662
Machine	0.5000	0.9201	0.9199	0.9359	0.9430	0.9437
Labor	0.8864	0.7500	0.7500	0.7655	0.8243	0.8875
Tic	0.8252	1.0000	0.8638	0.8941	0.8848	0.9959
Iris	0.9700	0.7500	0.9408	0.9197	0.9468	0.9450
Seed	0.9535	0.9780	0.9730	0.9782	0.9782	0.9535
Vc	0.5000	0.9750	0.8107	0.8380	0.8277	0.7381
Glass	0.7956	0.9894	0.8442	0.8640	0.8637	0.9400
Haberman	0.5079	0.5866	0.6255	0.6174	0.6636	0.9186
Transfusion	0.5286	0.8558	0.6813	0.7007	0.7048	0.9114
Abalone (7 : 15)	0.7986	1.0000	0.8901	0.9046	0.8627	0.9910
Balance-scale	0.5000	0.6256	0.5000	0.5000	0.5000	0.9452
Abalone (9 : 18)	0.6611	0.9333	0.7294	0.6514	0.7065	0.9978
Yeast (POX : CTY)	0.5000	0.8999	0.6881	0.8685	0.8762	0.9881
Car	0.5069	0.9792	0.9775	0.9775	0.9911	0.9888
Yeast (ME2 : others)	0.5000	0.6790	0.7894	0.7412	0.6916	0.9504
Average	0.6398	0.8509	0.7898	0.7980	0.8054	0.9152

= 0.001 to 0.6.