# Evaluating Results

After you train a tool, VisionPro Deep Learning returns statistical results about the performance of the tool. You can use these results to:

- Estimate how well the tool performs, for example, the rate of false positives.

- Find optimal parameter settings, for example, try parameter combinations or fine-tune thresholds.

- Test how well the tool can reproduce results.

After evaluating the results, you can modify your image sets, adjust image labels, fine-tune parameter settings, and test again.