# Stress Testing with the RIME CLI

Let's begin by stress testing a binary classification model using the RIME CLI! This example uses a modified version of the <a href="https://www.kaggle.com/datasets/uciml/adult-census-income" target="_blank">Adult Census Income Dataset</a> from Kaggle that we've included in the `rime_trial/` bundle provided during installation.

Before beginning, make sure that you've installed the RIME Python package. Installation instructions below:
- [RIME Cloud](../installation/cloud/installation.md#install-the-rime-python-package-optional)
- [RIME Enterprise (Local)](../installation/enterprise-local/installation.md#install-the-rime-python-package)

Be sure to run this example from the `rime_trial/` directory so that local paths to datasets resolve correctly!

```bash
rime-engine run-stress-tests --config-path examples/income/stress_tests_model.json
```

NOTE: If you see `"Missing option"` errors, make sure you set up your environment variables (see [Troubleshooting](../../reference/troubleshooting.md#rime-python-package)). 

This command will run a batch of stress tests designed to detect vulnerabilities in your ML pipeline. The results will be uploaded to the "Default Project", which comes pre-seeded in your environment.

![](../../_static/ui/ProjectsDefaultProject.png)

Once the command completes, you should be able to see the test run in the Default Project (see table below for URL). 

![](../../_static/ui/TestRunsIncomeExample.png)

From there, you can open the test run "Income (With Model)" and start exploring the results! 

![](../../_static/ui/TestsIncomeExample.png)

You can continue the rest of this example in [Running Stress Testing on the Income Example](../../walkthroughs/cli/rime_ai_stress_testing).