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---
language: code
tags:
- binary-classification
- model
- evaluation
metrics:
- average_precision: 0.94
- roc_auc: 0.89
- best threshold according to F1: 0.92
---
# Binary Classification Model
## Evaluation Results
**Average Precision:** 0.94
**ROC AUC:** 0.89
**best threshold according to F1: 0.92
## Visualizations
### Precision-Recall Curve

### ROC Curve

## Output Files and Directories
- 📂 `checkpoint-171/`
- `config.json`
- `model.safetensors`
- `preprocessor_config.json`
- `training_args.bin`
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