Deep_Learning / Results.md
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Training LSTM model... Epoch 1, Loss: 71.1234 Epoch 2, Loss: 68.6489 Epoch 3, Loss: 69.2523 Epoch 4, Loss: 68.8158 Epoch 5, Loss: 68.9286

          precision    recall  f1-score   support

       0       0.00      0.00      0.00       165
       1       0.00      0.00      0.00        58
       2       0.66      1.00      0.79       430

accuracy                           0.66       653

macro avg 0.22 0.33 0.26 653 weighted avg 0.43 0.66 0.52 653

Training GRU model... Epoch 1, Loss: 70.4632 Epoch 2, Loss: 69.1792 Epoch 3, Loss: 69.2010 Epoch 4, Loss: 68.6870 Epoch 5, Loss: 68.6591

          precision    recall  f1-score   support

       0       0.00      0.00      0.00       165
       1       0.00      0.00      0.00        58
       2       0.66      1.00      0.79       430

accuracy                           0.66       653

macro avg 0.22 0.33 0.26 653 weighted avg 0.43 0.66 0.52 653

Training CNN model... Epoch 1, Loss: 70.8052 Epoch 2, Loss: 62.6982 Epoch 3, Loss: 37.3597 Epoch 4, Loss: 8.0962 Epoch 5, Loss: 1.3354 precision recall f1-score support

       0       0.47      0.42      0.45       165
       1       0.24      0.09      0.13        58
       2       0.72      0.81      0.77       430

accuracy                           0.65       653

macro avg 0.48 0.44 0.45 653 weighted avg 0.62 0.65 0.63 653