HIPA-AI ML Model: Keras

This model takes paragraph style reddit posts and predicts whether they are a violation of the Health Insurance Portability and Accountability Act.

Source

This model was the first place finisher in the HIPA-AI Model competition hosted by Codalab with a score of 70% accuracy. It was authored by tarak2134.

Details

This model takes a text body between 40 and 750 words as input. As output, the model gives a binary; "yes, this is a violation", or "no, this is not a violation" The model tends to be more accurate on larger bodies of text.

Dataset

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

Model Card Authors

Brayden Cloutier

Model Card Contact

[email protected], [email protected]

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Inference API (serverless) does not yet support keras models for this pipeline type.

Dataset used to train ARI-HIPA-AI-Team/HIPA-AI_Model

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Collection including ARI-HIPA-AI-Team/HIPA-AI_Model