A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph

Table 6

-means.

Dataset	SVM	CS-EN-HN	SMOTE + C4.5	SMOTE-RSB* + C4.5	NRSBoundary-SMOTE + C4.5	N-HyperGraph
Bupa	0.2026	0.7456	0.6441	0.6518	0.6433	0.5592
Colic	0.4008	0.5828	0.7740	0.7910	0.8100	0.9687
Reprocessed	0.0000	0.5973	0.7503	0.7466	0.7311	0.7247
Machine	0.0000	0.8371	0.8941	0.8949	0.9196	0.9377
Labor	0.8000	0.7071	0.6576	0.7534	0.8574	0.8232
Tic	0.8015	0.8466	0.7926	0.8318	0.8156	0.9959
Iris	0.4427	0.5112	0.9550	0.9349	0.9499	0.9427
Seed	0.6473	0.9623	0.9750	0.9750	0.9750	0.9511
Vc	0.0000	0.7729	0.7941	0.7589	0.8021	0.6831
Glass	0.7141	0.9892	0.8026	0.7938	0.8187	0.8897
Haberman	0.2957	0.4884	0.6332	0.5431	0.6808	0.9005
Transfusion	0.1628	0.4582	0.6308	0.5956	0.6496	0.8119
Abalone (7 : 15)	0.6626	0.9565	0.8940	0.8808	0.8649	0.9909
Balance-scale	0.0000	0.6016	0.0000	0.0000	0.0000	0.9428
Abalone (9 : 18)	0.0000	0.8521	0.5884	0.4833	0.6100	0.9978
Yeast (POX : CTY)	0.3704	0.7088	0.6665	0.8552	0.8630	0.9879
Car	0.1195	0.9790	0.8453	0.8453	0.8285	0.9888
Yeast (ME2 : others)	0.0000	0.5086	0.5861	0.5566	0.6352	0.9485
Average	0.3118	0.7113	0.7158	0.7162	0.7475	0.8968

= 0.001 to 0.6.