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========== 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]]
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