A Semisupervised Feature Selection with Support Vector Machine

Table 1

Comparisons of selected features and their standard errors (in parenthesis). 𝐹_relevant is the number of selected relevant features and 𝐹_noise is the number of selected noise features.

𝜌	SENFS		Spectral		DrSVM
	𝐹relevant	𝐹noise	𝐹relevant	𝐹noise	𝐹relevant	𝐹noise
0	6.2 (0.28)	5.6 (0.28)	4.75 (0.22)	5.9 (0.29)	5.41 (0.27)	5.7 (0.15)
0.5	7.2 (0.01)	3.9 (0.05)	6.88 (0.1)	6.2 (0.24)	6.83 (0.31)	5.4 (0.17)
0.9	8.9 (0.04)	2.1 (0.11)	8.32 (0.09)	4.15 (0.15)	8.1 (0.08)	4.55 (0.22)