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README.md
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---
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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/model-cards
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{}
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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## Model Details
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This model classifies news headlines as either NBC or Fox News.
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** Jack Bader, Kaiyuan Wang, Pairan Xu
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- **Taks:** Binary classification (NBC News vs. Fox News)
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- **Preprocessing:** TF-IDF vectorization applied to the text data
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- stop_words = "english"
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- max_features = 1000
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- **Model type:** Random Forest
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- **Freamwork:** Scikit-learn
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- Accuracy Score
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