Research Article

GGA-MLP: A Greedy Genetic Algorithm to Optimize Weights and Biases in Multilayer Perceptron

Table 7

Comparison of performances of classifiers.

Dataset\algorithmLogistic regressionNaïve BayesDecision treeBPGGA-MLP

ParkinsonAvg0.82050.61540.81620.84960.8666
Std0.03160.00890.0772
Best0.82050.61540.87180.87180.9189

ILPDAvg0.70940.51280.67860.71790.7196
Std0.02030.0302
Best0.70940.51280.71790.71790.7863

DiabetesAvg0.74030.75970.65410.75580.7697
Std0.01130.01220.0255
Best0.74030.75970.68180.78570.8301

Vertebral ColumnAvg0.80650.70970.63980.85000.8851
Std0.01910.01280.0365
Best0.80650.70970.67740.88710.9355

SpambaseAvg0.90540.82390.90920.92410.9176
Std0.00400.00220.0176
Best0.90540.82390.91850.92830.9370

QSAR BiodegradationAvg0.84360.66820.80520.85610.8498
Std0.01070.01050.0422
Best0.84360.66820.82460.87200.8957

Blood TransfusionAvg0.78670.77330.82670.76000.8479
Std0.00630.0039
Best0.78670.77330.82670.77330.8667

HTRU2Avg0.97650.94110.96240.97030.9805
Std0.00130.00140.0010
Best0.97650.94110.96450.97240.9827

Drug Consumption: Amyl NitriteAvg0.79310.69760.69430.79260.8356
Std0.00880.00980.0012
Best0.79310.69760.71350.80900.8462

Drug Consumption: KetamineAvg0.79310.74540.70800.77240.8204
Std0.02430.02160.0116
Best0.79310.74540.72680.80110.8382