> For the complete documentation index, see [llms.txt](https://docs.deepomatic.com/platform-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.deepomatic.com/platform-documentation/deepomatic-drive/configuring-visual-automation-applications/evaluating-performances.md).

# Evaluating performances

To get an evaluation of a model version's performances, you need to create a validation set **before** training a model version.

{% content-ref url="/pages/-LQ-KwTGnBm3VygG8H\_U" %}
[Validation split](/platform-documentation/deepomatic-drive/configuring-visual-automation-applications/evaluating-performances/validation-split.md)
{% endcontent-ref %}

 Once you have trained a model, you will likely want to know how good it performs at the task you are trying to automate.

You can start with a qualitative evaluation here:

{% content-ref url="/pages/-LQ-HanE9-n4IM96VcQb" %}
[Qualitative evaluation](/platform-documentation/deepomatic-drive/configuring-visual-automation-applications/evaluating-performances/qualitative-evaluation.md)
{% endcontent-ref %}

You can then access the performance report to get more details on your models:

{% content-ref url="/pages/-LzrQdQ7cvazSN8jHUT0" %}
[Performance report](/platform-documentation/deepomatic-drive/configuring-visual-automation-applications/evaluating-performances/performance-report.md)
{% endcontent-ref %}