rnn_emotion_model/classification_report.txt

========== RNN Classification Report ==========
              precision    recall  f1-score   support

   Enjoyment     0.3002    1.0000    0.4618       991
        Fear     0.0000    0.0000    0.0000       327
     Sadness     0.0000    0.0000    0.0000       356
       Anger     0.0000    0.0000    0.0000       369
       Other     0.0000    0.0000    0.0000       600
     Disgust     0.0000    0.0000    0.0000       332
    Surprise     0.0000    0.0000    0.0000       326

    accuracy                         0.3002      3301
   macro avg     0.0429    0.1429    0.0660      3301
weighted avg     0.0901    0.3002    0.1386      3301

========== Additional Metrics ==========
Test Loss: 1.8469
Test Accuracy: 0.3002
Precision (Macro): 0.0429
Precision (Weighted): 0.0901
Recall (Macro): 0.1429
Recall (Weighted): 0.3002
F1-Score (Macro): 0.0660
F1-Score (Weighted): 0.1386

========== Confusion Matrix ==========
[[991   0   0   0   0   0   0]
 [327   0   0   0   0   0   0]
 [356   0   0   0   0   0   0]
 [369   0   0   0   0   0   0]
 [600   0   0   0   0   0   0]
 [332   0   0   0   0   0   0]
 [326   0   0   0   0   0   0]]