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model_metrics.txt
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Accuracy: 0.9676956209619526
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ROC AUC Score: 0.8841975505715628
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Classification Report:
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precision recall f1-score support
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0 0.97 1.00 0.98 1206
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1 0.99 0.77 0.86 187
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accuracy 0.97 1393
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macro avg 0.98 0.88 0.92 1393
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weighted avg 0.97 0.97 0.97 1393
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Confusion Matrix:
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[[1204 2]
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[ 43 144]]
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