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Table 1.
Parameters of the tested network architectures.
| Parameter | Tested values | Chosen value |
|---|---|---|
| Kernel | [GRU, LSTM] | LSTM |
| Kernel units | [128, 256] | 128 |
| Number of recurrent layers | [2, 3] | 3 |
| Dense layers | [0, 1] | 0 |
| Dropout rate | [0.2, 0.5] | 0.2 |
| Optional dense layers | 512, sigmoid | |
| (units, activation) | 64, sigmoid | |
| Output dense layer | 1, sigmoid | |
| (units, activation) | ||
| Loss function | Binary crossentropy | |
| Optimizer | NAdam (learning rate = 0.001) | |
| Metrics | Accuracy, Recall | |
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