Research Article
An Optimal SVM with Feature Selection Using Multiobjective PSO
Table 3
Learning time for different classifiers (second).
| ā | Glass | Iris | Wine | German | Ionosphere | Sonar | Hepatitis | Bupa | Vowel | Heart |
| MOPSO-SVM | 0.64 | 0.204 | 0.224 | 0.635 | 0.184 | 0.084 | 0.0436 | 0.191 | 11.85 | 0.118 | SVM | 2.74 | 1.138 | 1.12 | 0.663 | 0.179 | 0.116 | 0.0423 | 0.148 | 8.60 | 0.135 | MLP | 22.17 | 2.14 | 2.06 | 37.84 | 2.24 | 3.43 | 2.12 | 4.93 | 38.13 | 2.33 | RBF | 5.27 | 3.55 | 4.08 | 21.17 | 11.28 | 5.98 | 3.005 | 3.78 | 18.9 | 6.21 |
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