A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph

Table 5

-value.

Dataset	SVM	CS-EN-HN	SMOTE + C4.5	SMOTE-RSB* + C4.5	NRSBoundary-SMOTE + C4.5	N-HyperGraph
Bupa	0.0789	0.7193	0.6045	0.5878	0.6076	0.6422
Colic	0.2807	0.5688	0.7445	0.7460	0.7630	0.9530
Reprocessed	0.0000	0.5374	0.6698	0.6831	0.6633	0.7118
Machine	0.0000	0.8404	0.8571	0.8690	0.8980	0.9242
Labor	0.8648	0.6666	0.5714	0.6829	0.8205	0.8171
Tic	0.7876	0.7900	0.7273	0.7858	0.7689	0.9926
Iris	0.9514	0.4835	0.9320	0.9038	0.9230	0.9045
Seed	0.9361	0.9545	0.9645	0.9645	0.9645	0.9209
Vc	0.0000	0.7295	0.7163	0.6919	0.7248	0.6501
Glass	0.7350	0.9890	0.7273	0.7419	0.7536	0.8808
Haberman	0.0470	0.3475	0.4828	0.3944	0.5393	0.8396
Transfusion	0.1628	0.4582	0.4749	0.4551	0.5000	0.8119
Abalone (7 : 15)	0.7096	0.8595	0.8246	0.8155	0.7980	0.9683
Balance-scale	0.0000	0.2326	0.0000	0.0000	0.0000	0.6447
Abalone (9 : 18)	0.0000	0.5071	0.3846	0.3076	0.4324	0.9709
Yeast (POX : CTY)	0.2413	0.6493	0.5143	0.8261	0.7885	0.8066
Car	0.0282	0.6728	0.7042	0.7042	0.6906	0.7976
Yeast (ME2 : others)	0.0000	0.1924	0.3364	0.3765	0.4158	0.4750
Average	0.3235	0.6191	0.6252	0.6409	0.6695	0.8173

= 0.001 to 0.6.