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saifhmb
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Credit-Card-Risk-Model

Tabular Classification
Scikit-learn
skops
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@@ -138,6 +138,10 @@ the precision and recall metrics globally by counting the total true positives,
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  | precision | 0.699187 |
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  | recall | 0.699187 |
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  ### Confusion Matrix
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  ![Confusion Matrix](confusion_matrix.png)
 
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  | precision | 0.699187 |
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  | recall | 0.699187 |
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+ ### Feature Importance
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+ SHAP was used to determine the important features that helps the model make decisions
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6662300a0ad8c45a1ce59190/OhZPMDUQi1N4R0XlMQm9A.png)
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+
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  ### Confusion Matrix
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  ![Confusion Matrix](confusion_matrix.png)