Table 3 The hyperparameters of the proposed method and the baselines.
Model | Hyperparameters | Value |
|---|---|---|
SVM | C | 1 |
Kernel | Linear | |
max_iter | 10,000,000 | |
LR | Penalty | L2 |
C | 1 | |
Solver | lbfgs | |
NB | var_smoothing | 1e-9 |
RIAM_Single | Learning rate | 0.001 |
Batch size | 32 | |
dl | 64 | |
Max_epochs | 200 | |
Optimizer | Adam | |
Dropout rate | 0.1 | |
Input dimensions | 6 | |
Output dimensions | 1 | |
Activation function | Sigmoid | |
U | 2 | |
Nx | 2 |