Semisupervised Feature Selection with Universum

Table 4

Averaged accuracy on different numbers of selected features.

Algorithm	Vehicle (1)	Vehicle (2)	Vehicle (3)	Vehicle (4)
VS	0.8081	0.7787	0.6001	0.5792
LS	0.8566	0.7698	0.5582	0.5582
SS	0.7979	0.7771	0.6109	0.5475
FS	0.7886	0.8072	0.6014	0.6163
UVS	0.8302	0.7802	0.6079	0.5943
ULS	0.8587	0.8323	0.5913	0.5972
USS	0.8356	0.8083	0.6139	0.5753