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Update README.md

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@@ -82,7 +82,7 @@ The model can be applied in any scenario where it's important to distinguish bet
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  ### Limitations
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  - **Domain Specificity**: The model was trained on Steam reviews and may not generalize well outside gaming.
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- - **Dataset Imbalance**: The training data has an approximate **63%-37%** split between non-constructive and constructive reviews.
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  <hr>
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@@ -130,4 +130,9 @@ classifier = pipeline(
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  review = "Review: I think this is a great game but it still has some room for improvement., Playtime: 12, Voted Up: True, Upvotes: 1, Votes Funny: 0"
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  result = classifier(review)
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- print(result)
 
 
 
 
 
 
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  ### Limitations
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  - **Domain Specificity**: The model was trained on Steam reviews and may not generalize well outside gaming.
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+ - **Dataset Imbalance**: The training data has an approximate **63.04%-36.96%** split between non-constructive and constructive reviews.
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  <hr>
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  review = "Review: I think this is a great game but it still has some room for improvement., Playtime: 12, Voted Up: True, Upvotes: 1, Votes Funny: 0"
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  result = classifier(review)
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+ print(result)
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+ ```
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+
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+ ## License
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+
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+ This model is licensed under the *[MIT License](https://mit-license.org/)*, allowing open and flexible use of the model for both academic and commercial purposes.