A New Conic Approach to Semisupervised Support Vector Machines

Table 2

Performance of different methods on artificial and real-world datasets.

Dataset	TSVM		TSDP		SSDP		TDNNP
	Rate	Time	Rate	Time	Rate	Time	Rate	Time	Rate	Time
Art 1	4.01 (1.65)	6.98 (1.29)	6.31 (1.25)	3.30 (1.04)	1.04 (0.62)	15.4 (3.86)	9.41 (1.03)	5.56 (0.73)	22.7 (2.04)	89.6 (5.42)
Art 2	6.39 (3.21)	10.16 (3.47)	8.99 (3.53)	6.12 (2.71)	3.03 (1.43)	17.1 (4.28)	9.93 (1.21)	5.84 (0.81)	23.6 (1.85)	86.1 (5.21)
Art 3	7.83 (3.67)	12.72 (3.56)	11.12 (3.41)	7.61 (2.72)	3.55 (1.51)	19.3 (4.41)	9.77 (1.16)	6.12 (0.74)	24.8 (2.33)	87.5 (6.43)
Art 4	11.62 (4.39)	15.17 (4.10)	13.64 (3.85)	9.94 (2.74)	5.60 (1.48)	23.6 (4.91)	9.15 (1.13)	6.07 (0.78)	27.3 (2.40)	90.5 (6.87)
Digit 1	23.42 (8.82)	28.85 (7.21)	27.84 (7.45)	25.27 (7.21)	16.93 (5.52)	25.4 (5.37)	12.8 (1.40)	8.01 (0.95)	33.6 (2.87)	119.7 (7.01)
USPS	16.27 (6.83)	20.04 (6.33)	18.73 (6.20)	16.11 (5.48)	10.71 (3.91)	27.1 (5.31)	13.2 (1.37)	7.30 (1.13)	34.2 (3.04)	122.5 (7.27)
Sonar	19.34 (6.07)	27.44 (5.67)	25.78 (5.51)	18.45 (4.73)	12.42 (4.03)	25.8 (5.49)	12.4 (1.53)	7.62 (1.07)	33.1 (2.77)	116.1 (7.48)
Iono	12.35 (5.94)	15.73 (6.62)	15.34 (5.31)	13.03 (4.17)	7.22 (3.12)	26.3 (5.91)	12.7 (1.27)	7.28 (1.18)	34.7 (2.94)	113.2 (7.36)