A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph

Table 1

Data description.

Dataset	Size	Attribute	Class label (minority : majority)	Class distribution
Bupa	345	6C	01 : 02	145/200
Colic	368	7C 15N	No : yes	136/232
Reprocessed	294	13C	01 : 00	106/188
Machine	209	7C	Others : 2	74/135
Labor	57	8C 8N	Bad : good	20/37
Tic	958	9N	Negative : positive	332/626
Iris	150	4C	Iris-virginica : others	50/100
Seed	210	7C	02 : others	70/140
Vc	310	6C	Normal : Abnormal	100/210
Glass	214	9C	01, 02 : others	68/146
Haberman	306	3C	02 : 01	81/225
Transfusion	748	4C	01 : 00	178/570
Abalone (7 : 15)	494	7C 1N	15 : 07	103/391
Balance-scale	625	4C	B : others	49/576
Abalone (9 : 18)	731	7C 1N	18 : 9	42/689
Yeast (POX : CTY)	483	8C	POX : CYT	20/463
Car	1728	6N	Good : others	69/1659
Yeast (ME2 : others)	1484	8C	ME2 : others	51/1433

C: continuous, N: nominal.