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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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