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README.md
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---
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tags:
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- text-classification
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## Model Performance
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### Classification Report
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| Class | Precision | Recall | F1-Score | Support |
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|-----------|-----------|--------|----------|---------|
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| Negative | 0.90 | 0.89 | 0.90 | 14692 |
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| Neutral | 0.90 | 0.88 | 0.89 | 16970 |
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| Positive | 0.89 | 0.92 | 0.90 | 16861 |
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- **Accuracy**: 90%
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- **Macro Avg Precision**: 0.90
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- **Macro Avg Recall**: 0.90
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- **Macro Avg F1-Score**: 0.90
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### Summary
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This model achieves a balanced performance across all sentiment classes, with high precision and recall, especially in the positive and negative classes.
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---
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tags:
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- text-classification
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