DT DT ANN ANN NB NB PSO PSO
Parameters Values Parameters Values Parameters Values Parameter Value
Criterion Information Gain Network MLP Estimation Method Greedy Number of particles 20
Size of split 2 Hidden layers 3 Minimum Bandwidth 0.01 c1 = c2 2
Minimal leaf size 2 Training Cycles 600 Number of Kernels 10 ωmin 0.5
Minimal Gain 0.01 Learning Rate 0.3 ωmax 1
Maximal Depth 20 Momentum 0.25 Velocity 0.9
Confidence 0.5