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@@ -37,7 +37,7 @@ This model can be used for whatever reason you need, also a site hosted, based o
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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 also biased toward certain names.
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  ### Recommendations
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@@ -171,7 +171,17 @@ For testing on https://github.com/GeorgeMcIntire/fake_real_news_dataset
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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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+
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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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