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README.md
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As a Bert model, this also has bias. It can't be considered as a somewhat state-of-the-art model, because
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it was trained on old data (about 2022 and older), so it may not be considered as a reliable fake-news checker
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about military conflicts in Ukraine, Israel, and so on. Please consider, that the names of people in the data were not preprocessed, so
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it might be
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### Recommendations
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macro avg 0.83 0.83 0.83 4594
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weighted avg 0.83 0.83 0.83 4594
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```
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#### Summary
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As a Bert model, this also has bias. It can't be considered as a somewhat state-of-the-art model, because
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it was trained on old data (about 2022 and older), so it may not be considered as a reliable fake-news checker
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about military conflicts in Ukraine, Israel, and so on. Please consider, that the names of people in the data were not preprocessed, so
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it might also be biased toward certain names.
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### Recommendations
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macro avg 0.83 0.83 0.83 4594
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weighted avg 0.83 0.83 0.83 4594
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```
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For testing on https://onlineacademiccommunity.uvic.ca/isot/2022/11/27/fake-news-detection-datasets/
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```
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precision recall f1-score support
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0 0.9736 0.9750 0.9743 10455
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1 0.9726 0.9711 0.9718 9541
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accuracy 0.9731 19996
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macro avg 0.9731 0.9731 0.9731 19996
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weighted avg 0.9731 0.9731 0.9731 19996
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```
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#### Summary
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