Table 7.

Summary of DL models parameters for the three feature sets.

Model	Binary Classification	Multiclass Classification
RNN, LSTM, GRU, MLP	Classes: 2 Batch size: 128 Input size: 18, 15, and 16 Hidden size: 128 (512 for MLP) Layers: 3 (4 for MLP) Sequence length: 1 (None for MLP) Epochs: 100 Optimizer: Adam Loss function: Cross Entropy Learning rate: 0.0011 Device: CPU	Classes: 4 Batch size: 128 Input size: 18, 15, and 16 Hidden size: 128 (512 for MLP) Layers: 3 (4 for MLP) Sequence length: 1 (None for MLP) Epochs: 100 Optimizer: Adam Loss function: Cross Entropy Learning rate: 0.0011 Device: CPU