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@@ -60,13 +60,6 @@ The model was evaluated using standard classification metrics, including precisi
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  - Accuracy: 0.92
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- ### Confusion Matrix
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- - **True Positives (TP)**: `esca` correctly identified as `esca`: 468
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- - **True Negatives (TN)**: `healthy` correctly identified as `healthy`: 1197
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- - **False Positives (FP)**: `healthy` incorrectly identified as `esca`: 12
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- - **False Negatives (FN)**: `esca` incorrectly identified as `healthy`: 128
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  ### License
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  The data used to train this model is licensed under the CC0 Public Domain Dedication. The model itself is licensed under the MIT License.
 
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  - Accuracy: 0.92
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  ### License
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  The data used to train this model is licensed under the CC0 Public Domain Dedication. The model itself is licensed under the MIT License.