# Red Classify Tool – Statistics – Optimization

To optimize the performance of the Red Analyze tool, keep in mind the following:

- Prefer AUC of untrained items
- Prefer region-based AUC
  - This requires that you mark all bad samples
  - Is usually much lower than the view-based AUC
- Threshold setting depends on the requirements of the application
  - High threshold to avoid false positives
  - Low threshold to avoid false negatives
  - Otherwise, a good compromise is %FP = %FN