cnn_lstm_emotion_model/classification_report.txt

========== CNN-LSTM Classification Report ==========
              precision    recall  f1-score   support

   Enjoyment     0.6977    0.7265    0.7118       991
        Fear     0.5526    0.6269    0.5874       327
     Sadness     0.4955    0.4663    0.4805       356
       Anger     0.7022    0.6070    0.6512       369
       Other     0.6740    0.7650    0.7166       600
     Disgust     0.5194    0.4849    0.5016       332
    Surprise     0.5020    0.3896    0.4387       326

    accuracy                         0.6247      3301
   macro avg     0.5919    0.5809    0.5840      3301
weighted avg     0.6204    0.6247    0.6205      3301

========== Additional Metrics ==========
Test Loss: 1.6124
Test Accuracy: 0.6247
Precision (Macro): 0.5919
Precision (Weighted): 0.6204
Recall (Macro): 0.5809
Recall (Weighted): 0.6247
F1-Score (Macro): 0.5840
F1-Score (Weighted): 0.6205

========== Confusion Matrix ==========
[[720  28  69  11  93  37  33]
 [ 34 205  13  39  10  14  12]
 [ 92  22 166   7  31  19  19]
 [ 13  62  13 224  17  34   6]
 [ 56  15  29   6 459  10  25]
 [ 34  21  22  27  36 161  31]
 [ 83  18  23   5  35  35 127]]