gru_bot

Training phase

Epoch 1 - Train Loss: 0.4776, Val Loss: 1.0034 precision recall f1-score support

 bot       0.60      1.00      0.75      1992
 human       0.99      0.34      0.51      2008

accuracy 0.67

Epoch 2 - Train Loss: 0.3890, Val Loss: 0.3751 precision recall f1-score support

 bot       0.80      0.86      0.83      1992
 human       0.85      0.78      0.82      2008

accuracy 0.82

Epoch 3 - Train Loss: 0.3466, Val Loss: 0.6948 precision recall f1-score support

 bot       0.96      0.38      0.55      1992
 human       0.62      0.99      0.76      2008

accuracy 0.69

Epoch 4 - Train Loss: 0.3166, Val Loss: 0.8864 precision recall f1-score support

 bot       1.00      0.21      0.35      1992
 human       0.56      1.00      0.72      2008

accuracy 0.61

Epoch 5 - Train Loss: 0.2824, Val Loss: 0.7895 precision recall f1-score support

 bot       0.98      0.31      0.47      1992
 human       0.59      0.99      0.74      2008

accuracy 0.66 4000

Epoch 6 - Train Loss: 0.2310, Val Loss: 1.2581 precision recall f1-score support

 bot       0.99      0.20      0.33      1992
 human       0.56      1.00      0.72      2008

accuracy 0.60

Epoch 7 - Train Loss: 0.2132, Val Loss: 0.7035 precision recall f1-score support

 bot       0.97      0.47      0.64      1992
 human       0.65      0.98      0.79      2008

accuracy 0.73 4000

Epoch 8 - Train Loss: 0.1991, Val Loss: 1.5236 precision recall f1-score support

 bot       0.99      0.15      0.27      1992
 human       0.54      1.00      0.70      2008

accuracy 0.58

Epoch 9 - Train Loss: 0.1904, Val Loss: 1.1593 precision recall f1-score support

 bot       0.98      0.27      0.43      1992
 human       0.58      1.00      0.73      2008

accuracy 0.64

Epoch 10 - Train Loss: 0.1904, Val Loss: 1.3020 precision recall f1-score support

 bot       0.98      0.24      0.39      1992
 human       0.57      1.00      0.73      2008

accuracy 0.62

Confusion Matrix

Training Matrix