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  1. README.md +2 -2
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@@ -61,7 +61,7 @@ The goal of this second test is to evaluate whether this approach improves class
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  Below is the confusion matrix for the second test:
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- ![Confusion Matrix](out/confusion_matrix.png)
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  - **Accuracy**: (16 + 18) / (16 + 6 + 4 + 18) = **77.3%**
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  - **Precision (Relevant)**: 18 / (18 + 6) = **75.0%**
@@ -73,7 +73,7 @@ Compared to Test 1, this version shows a slight improvement in both **accuracy**
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  For this test, I also generated the ROC curve:
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- ![ROC Curve](out/roc_curve.png)
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  The curve appears to have a stepped shape, which is expected due to the **limited number of test samples**. As a result, it’s difficult to draw strong conclusions from the ROC curve alone.
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  Below is the confusion matrix for the second test:
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+ ![Confusion Matrix](imgs/confusion_matrix.png)
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  - **Accuracy**: (16 + 18) / (16 + 6 + 4 + 18) = **77.3%**
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  - **Precision (Relevant)**: 18 / (18 + 6) = **75.0%**
 
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  For this test, I also generated the ROC curve:
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+ ![ROC Curve](imgs/roc_curve.png)
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  The curve appears to have a stepped shape, which is expected due to the **limited number of test samples**. As a result, it’s difficult to draw strong conclusions from the ROC curve alone.
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