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README.md
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label_mapping = {'non-severe': 0, 'severe': 1}
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500 0.518800
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1000 0.321000
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1500 0.210000
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2000 0.120900
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------------------------------
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--_----------------------------
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Accuracy: 0.8452921586436573
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------------------------------
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Precision: 0.8686567164179104
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------------------------------
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Recall: 0.909375
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F1-score: 0.8885496183206106
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------------------------------
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MCC: 0.637922907223529
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------------------------------
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Confusion Matrix:
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[[ 755 308]
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[ 203 2037]]
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# Model Training Summary
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## Label Mapping
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```python
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label_mapping = {'non-severe': 0, 'severe': 1}
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```
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## Training Loss Over Iterations
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| Step | Training Loss |
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|------|---------------|
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| 500 | 0.518800 |
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| 1000 | 0.321000 |
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| 1500 | 0.210000 |
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| 2000 | 0.120900 |
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## Evaluation Metrics
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- **Accuracy**: 0.8452921586436573
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- **Precision**: 0.8686567164179104
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- **Recall**: 0.909375
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- **F1-score**: 0.8885496183206106
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- **MCC (Matthews Correlation Coefficient)**: 0.637922907223529
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## Confusion Matrix
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```
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[[ 755 308]
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[ 203 2037]]
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```
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