Neighborhood Hypergraph Based Classification Algorithm for Incomplete Information System

Table 3

Precision.

Number	Data set	C4.5	SVM	NaiveBayes	NN	Rough (incomplete)	Rough (complete)	HyperGraph
1	Mammographic	0.823	0.825	0.836	0.798	0.723	0.777	0.834
2	Blood	0.751	0.581	0.706	0.714	0.722	0.775	0.732
3	Credit Approval	0.861	0.861	0.793	0.846	0.637	0.827	0.862
4	Balance	0.602	0.810	0.820	0.765	0.757	0.634	0.790
5	ILPD	0.658	0.509	0.793	0.607	0.539	0.476	0.655
6	Haberman	0.621	0.541	0.715	0.629	0.719	0.490	0.664
7	Hungarian	0.807	0.825	0.836	0.769	0.580	0.590	0.848
8	Statlog Heart	0.762	0.810	0.829	0.795	0.424	0.421	0.847
9	Spect Heart	0.792	0.818	0.841	0.817	0.633	0.737	0.854
10	Bankruptcy	0.973	0.988	0.992	0.996	0.998	0.998	0.997
11	Sonar	0.755	0.765	0.704	0.790	0.639	0.381	0.798
12	Iris	0.918	0.932	0.954	0.905	0.944	0.571	0.962
13	Fertility	0.774	0.774	0.774	0.832	0.830	0.733	0.774
14	Postoperative	0.503	0.501	0.499	0.494	0.427	0.444	0.506
15	Lenses	0.758	0.542	0.649	0.639	0.250	0.312	0.485
	Average	0.757	0.739	0.783	0.760	0.655	0.611	0.774