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README.md
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- Irkçılık
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3388 tweets were used in the training of the model. Accordingly, the success rates in education are as follows;
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## Example
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```sh
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[{'label': 'Nötr', 'score': 0.999175488948822}]
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```
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label= It shows which class the sent Turkish text belongs to according to the model.
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score= It shows the compliance rate of the Turkish text sent to the label found.
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## License
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- Irkçılık
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3388 tweets were used in the training of the model. Accordingly, the success rates in education are as follows;
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| | Cinsiyetçilik | Irkçılık | Kızdırma | Nötr | Accuracy |
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| ------ | ------ | ------ | ------ | ------ | ------ |
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| Precision | 0.884298 | 0.844037 | 0.910180 | 0.903571 | 892171 |
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| Recall | 0.891667 | 0.938776 | 0.835165 | 0.913357 | 892171 |
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| F1 Score | 0.887967 | 0.888889 | 0.871060 | 0.908438 | 892171 |
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## Example
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```sh
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[{'label': 'Nötr', 'score': 0.999175488948822}]
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```
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- label= It shows which class the sent Turkish text belongs to according to the model.
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- score= It shows the compliance rate of the Turkish text sent to the label found.
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## License
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