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Update README.md
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Signed-off-by: Koon Kiat <[email protected]>
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Koon-Kiat authored Nov 2, 2024
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Expand Up @@ -73,14 +73,6 @@ The project utilizes merged datasets from SpamAssassin (Hugging Face) and CEAS (

### Evaluation

- **Metrics**: Accuracy, precision, recall, F1-score.
- **Confusion Matrix**: Displaying the performance of each model.
- **Learning Curves**: Visualizing model performance as a function of training data size.

These results are stored in the `output` folder.

## Evaluation

- **Accuracy**: Measures overall prediction correctness.
- **Precision, Recall, F1-Score:** Evaluates the balance between correct and incorrect classifications.
- **Confusion Matrix**: Displays the performance of each model in predicting "Safe" vs. "Not Safe" emails.
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