> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/changelog/explore-by-month/july-2025/automated-model-improvement-recommendations.md).
# Automated Model Improvement Recommendations
The Roboflow Model Evaluation tool now makes recommendations on how to improve your model. These recommendations are based on the results from your model confusion matrix.
The Model Evaluation tool can make recommendations based on:
* How to improve a model that predicts many false negatives.
* How to improve a model that predicts many false positives.
* What classes are often confused (mis-identified).
* What classes need more data to improve accuracy.
* When a test or validation set may be too small.
* And more.
You can see this feature by clicking the "Model Evaluation" button on any model trained on or uploaded to Roboflow.
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://docs.roboflow.com/changelog/explore-by-month/july-2025/automated-model-improvement-recommendations.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.