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library_name: keras
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#HIPA-AI ML Model: Keras
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This model takes paragraph style reddit posts and predicts whether they are a violation of the Health Insurance Portability and Accountability Act.
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This model takes a text body between 40 and 750 words as input.
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As output, the model gives a binary; "yes, this is a violation", or "no, this is not a violation"
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The model tends to be more accurate on larger bodies of text.
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This model was trained on an annotated set of 100 reddit posts. To get more information, see the dataset card at ARI-HIPA-AI-Team/Dataset
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library_name: keras
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# HIPA-AI ML Model: Keras
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This model takes paragraph style reddit posts and predicts whether they are a violation of the Health Insurance Portability and Accountability Act.
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## Source
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This model was the first place finisher in the HIPA-AI Model competition hosted by Codalab. It was authored by tarak2134
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## Details
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This model takes a text body between 40 and 750 words as input.
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As output, the model gives a binary; "yes, this is a violation", or "no, this is not a violation"
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The model tends to be more accurate on larger bodies of text.
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## Dataset
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This model was trained on an annotated set of 100 reddit posts. To get more information, see the dataset card at ARI-HIPA-AI-Team/Dataset
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## Model Card Authors
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Brayden Cloutier
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## Model Card Contact
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brayclou@umich.edu, zmorell@umich.edu
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