svm_emotion_model/classification_report.txt

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

       Anger     0.8518    0.8759    0.8637       991
     Disgust     0.7846    0.8234    0.8035       991
   Enjoyment     0.7122    0.6741    0.6926       991
        Fear     0.8602    0.8619    0.8610       992
       Other     0.6811    0.6983    0.6896       991
     Sadness     0.8230    0.8022    0.8125       991
    Surprise     0.7930    0.7722    0.7824       992

    accuracy                         0.7869      6939
   macro avg     0.7865    0.7868    0.7865      6939
weighted avg     0.7866    0.7869    0.7865      6939

========== Additional Metrics ==========
Accuracy: 0.7869
Precision (Macro): 0.7865
Precision (Weighted): 0.7866
Recall (Macro): 0.7868
Recall (Weighted): 0.7869
F1-Score (Macro): 0.7865
F1-Score (Weighted): 0.7865

========== Confusion Matrix ==========
[[868  44  11  31  21  15   1]
 [ 40 816  17  28  42  26  22]
 [ 13  35 668  16 121  48  90]
 [ 54  25  16 855  19  14   9]
 [ 12  44 107  22 692  49  65]
 [ 19  46  54  21  43 795  13]
 [ 13  30  65  21  78  19 766]]