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 |
|
|
|
|
|
|