Research Article

Single Directional SMO Algorithm for Least Squares Support Vector Machines

Table 3

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

Waveform Splice
FO-SMO SD-SMO FO-SMO SD-SMO

−4 43.4541 (0.9094) 35.4434 (0.8404) 31.9303 (0.8649) 44.4478 (0.6507)
−3 46.5039 (0.9108) 36.1884 (0.8918) 33.2688 (0.8736) 44.0110 (0.7061)
−2 48.8049 (0.9114) 37.635 (0.908) 36.0175 (0.8910) 41.9830 (0.8944)
−1 52.907 (0.912) 35.3499 (0.8948) 43.6085 (0.8963) 37.730 (0.911)
0 58.9295 (0.9096) 29.9522 (0.8974) 55.2503 (0.9037) 33.4865 (0.8866)
1 67.2830 (0.9071) 26.6060 (0.8955) 72.543 (0.911) 26.1801 (0.8826)
2 79.3185 (0.9068) 24.5008 (0.8859) 94.8392 (0.9060) 23.3596 (0.8769)
3 86.3930 (0.9004) 22.9251 (0.8876) 121.219 (0.9054) 21.7434 (0.8750)
4 95.7465 (0.9100) 22.4251 (0.8860) 153.243 (0.9032) 21.0508 (0.8746)