Table 2 Hyper-parameters defined for the models.
Model | Hyper-parameter | Specifications |
|---|---|---|
ANN | Hidden layers | (10, 10) |
Activation function | (ReLU) | |
Training algorithm | Levenberg Marquardt (LM) | |
Solver | Adam | |
Maximum iteration | 500 | |
SVM | Kernel | RBF |
Regularization parameter (C) | 100 | |
Gamma | 0.1 | |
Epsilon | 0.1 | |
Decision Tree | Maximum Depth | 5 |
Random Forest | Number of estimators | 100 |
Maximum Depth | 5 |