Table 3 Details of python libraries, hyper parameter settings and hardware specifications.
Python libraries | Version |
|---|---|
Python | 3.10.11 |
Numpy | 1.25.2 |
Pandas | 2.0.3 |
Scikit-learn | 1.3.0 |
Tensorflow | 2.13.0 (or pytorch 2.0.1) |
Matplotlib | 3.7.2 |
seaborn | 0.12.2 |
Hyper parameter settings | |
Learning rate | 0 |
Batch size | 32 |
Optimizer | Adam, ε = 1e-8 |
Dropout rate | 0.5 |
Number of epochs | 50 |
Regularization | L2 weight decay = 1e-4 |
Loss function | Cross-entropy/MSE/custom loss |
Convergence criteria | |
Fixed epochs | 50 |
Early stopping | Stop if validation loss doesn’t improve for 10 epochs |
Hardware specifications | |
Operating systems | Windows 10 and above |
Processors | Intel® Core™ i5-9600 Processor; 9 M Cache, up to 4.60 GHz |
Memory (RAM) | 8 GB |
Storage (HDD) | 500 GB and above |
