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README.md
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### Testing Data, Factors & Metrics
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precision
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recall
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f1
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confusion_matrix
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accuracy
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### Results
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test accuracy = 0.853
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#### Summary
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The model preforms well and meet our initial goal ,thus this model can handle the task of image classification real image vs
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### Testing Data, Factors & Metrics
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99 |
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-precision
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-recall
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101 |
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-f1
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-confusion_matrix
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103 |
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-accuracy
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104 |
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### Results
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-test accuracy = 0.853
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-precision = 0.866
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-recall = 0.8357
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-f1 = 0.8509
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#### Summary
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The model preforms well and meet our initial goal ,thus this model can handle the task of image classification real image vs Ai generated image.
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