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README.md
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<!-- Provide a longer summary of what this model is. -->
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**Classification results test set**
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```
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precision recall f1-score support
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Non-HS 0.8514 0.6859 0.7598 2681
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HS 0.6187 0.8097 0.7014 1687
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macro avg 0.7350 0.7478 0.7306 4368
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weighted avg 0.7615 0.7337 0.7372 4368
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```
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- **Developed by:** Benjamin Ocampo
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** en
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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Use the code below to get started with the model.
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** BenjaminOcampo
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** en
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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### How to Get Started with the Model
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Use the code below to get started with the model.
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