Single Directional SMO Algorithm for Least Squares Support Vector Machines

Table 2

Training time (in seconds) and classification accuracy in parentheses for first order SMO (FO-SMO) and SD-SMO algorithms.

log^𝛾2	Banana		Image
	𝜎^2=1.8221		𝜎^2=2.7183
	FO-SMO	SD-SMO	FO-SMO	SD-SMO
−4	43.6589 (0.8675)	35.947 (0.895)	7.90140 (0.9012)	2.47260 (0.9214)
−3	47.3385 (0.8753)	35.3045 (0.8712)	8.41620 (0.9156)	2.50380 (0.9324)
−2	59.8110 (0.8832)	34.3882 (0.8653)	9.76570 (0.9223)	2.59740 (0.9348)
−1	88.6335 (0.8889)	28.9070 (0.8377)	11.7874 (0.9382)	2.57400 (0.9358)
0	129.505 (0.8877)	22.5036 (0.8667)	15.3895 (0.9430)	2.58180 (0.9410)
1	220.437 (0.8900)	16.1617 (0.8502)	23.4157 (0.9521)	2.60520 (0.9511)
2	229.891 (0.8943)	8.42400 (0.7853)	31.1026 (0.9588)	3.93120 (0.9602)
3	238.068 (0.8977)	3.47140 (0.7032)	41.611 (0.967)	4.2979 (0.963)
4	259.36 (0.898)	2.02800 (0.6126)	50.6560 (0.9616)	4.50900 (0.9578)