Neighborhood Hypergraph Based Classification Algorithm for Incomplete Information System

Table 6

AUC.

Number	Data set	C4.5	SVM	NaiveBayes	NN	Rough (incomplete)	Rough (complete)	HyperGraph
1	Mammographic	0.861	0.809	0.901	0.858	0.731	0.729	0.832
2	Blood	0.707	0.500	0.705	0.645	0.648	0.569	0.586
3	Credit Approval	0.887	0.856	0.896	0.873	0.629	0.566	0.882
4	Balance	0.695	0.877	0.951	0.879	0.762	0.713	0.872
5	ILPD	0.679	0.500	0.713	0.519	0.471	0.478	0.572
6	Haberman	0.533	0.500	0.644	0.568	0.567	0.525	0.547
7	Hungarian	0.752	0.794	0.906	0.733	0.536	0.512	0.814
8	Statlog Heart	0.751	0.806	0.897	0.851	0.470	0.561	0.827
9	Spect Heart	0.744	0.714	0.846	0.748	0.574	0.728	0.750
10	Bankruptcy	0.991	0.988	0.992	0.996	0.998	0.920	0.996
11	Sonar	0.788	0.761	0.798	0.762	0.589	0.500	0.789
12	Iris	0.971	0.960	0.995	0.923	0.953	0.800	0.972
13	Fertility	0.424	0.500	0.481	0.614	0.689	0.304	0.676
14	Postoperative	0.441	0.497	0.375	0.277	0.256	0.578	0.500
15	Lenses	0.800	0.565	0.851	0.889	0.500	0.344	0.668
	Average	0.735	0.707	0.797	0.742	0.625	0.588	0.752