Medical Abbreviation Classifier

The baseline model uses 1990 rows of data, embeds using Word2Vec and trains on LSTM. The other models change one factor.

{% if results %}

Classification using: {{name}}


{% for token, label in results.items() %} {% endfor %} {% for token, label in results.items() %} {% endfor %}
{{ token }}
{{ label }}
{% endif %}