# Model Metrics Dashboard
The [Model Accuracy & Code Distribution](dashboard:F0NPlNT) dashboard displays a metrics panel for the data team to monitor model performance. It measures the quality of the generated medical codes by showing the ratio of valid, invalid, and missing codes among all extracted medical concepts. It also displays the distribution of the generated codes by diagnosis and procedure categories.

## Model Metrics
![dashboard-model-metrics.png](AUyx3kjTpV7j)

These metrics describe the pipeline's ability to extract critical medical events and map them to valid billing codes. They include the total number of clinical notes processed, the average codes assigned per note, code validity stratified by concept types, the count of unmapped medical concepts, and the model-generated invalid codes. 


![dashboard-code-distribution.png](nrszd7RVa8KY)
These plots show the top clinical categories of the model-assigned codes by different concept categories. They help the data team understand the data distribution and identify potential bias in the results.
