Journal of Optimization / 2016 / Article / Tab 2

Research Article

An Optimal SVM with Feature Selection Using Multiobjective PSO

Table 2

Percentage of recognition score and reliability.

GlassIrisWineGermanIonosphereSonarHepatitisBupaVowelHeart

MOPSO-SVM
 Recognition score81.3194.6797.7584.2092.3190.8796.2582.3297.7887.41
 Reliability92.9497.9310089.8993.9990.8592.09582.0699.8987.3
SVM
 Recognition score61.2182.3390.4578.3592.5983.4192.573.0497.1783.88
 Reliability94.6498.4599.6579.5792.988789.8772.7799.8985.49
MLP
 Recognition score82.7898.5498.4289.8696.4493.7692.7687.9477.692.8
 Reliability73.08898.6898.43888.3596.3593.9786.5187.5978.3092.82
RBF
 Recognition score81.7696.9281.5891.590.0294.7294.7888.1299.1283.7
 Reliability75.82296.9688.8794.9493.1194.8697.0791.4999.386.59

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