Neighborhood Hypergraph Based Classification Algorithm for Incomplete Information System

Table 5

-measure.

No.	Data set	C4.5	SVM	NaiveBayes	NN	Rough (incomplete)	Rough (complete)	HyperGraph
1	Mammographic	0.823	0.814	0.834	0.798	0.698	0.708	0.832
2	Blood	0.755	0.659	0.713	0.717	0.658	0.569	0.731
3	Credit Approval	0.861	0.850	0.769	0.846	0.622	0.303	0.859
4	Balance	0.626	0.878	0.853	0.786	0.695	0.646	0.823
5	ILPD	0.659	0.594	0.562	0.619	0.394	0.114	0.667
6	Haberman	0.633	0.623	0.700	0.646	0.612	0.380	0.670
7	Hungarian	0.806	0.823	0.836	0.769	0.461	0.320	0.839
8	Statlog Heart	0.760	0.810	0.828	0.794	0.328	0.347	0.833
9	Spect Heart	0.797	0.821	0.808	0.781	0.568	0.544	0.835
10	Bankruptcy	0.972	0.988	0.992	0.996	0.998	0.913	0.996
11	Sonar	0.754	0.764	0.673	0.749	0.483	0.444	0.786
12	Iris	0.913	0.926	0.953	0.881	0.933	0.611	0.958
13	Fertility	0.824	0.824	0.824	0.826	0.830	0.587	0.821
14	Postoperative	0.586	0.580	0.575	0.563	0.388	0.444	0.586
15	Lenses	0.752	0.554	0.656	0.641	0.300	0.313	0.531
	Average	0.768	0.767	0.772	0.761	0.598	0.483	0.784