# Statistics

Use of Statistical metrics in ViDi help to:

- Estimate future performance, e.g. estimate rates of false positives.
- Optimize tool parameters (parameter search), by finding good Training Tool Parameters or Processing Tool Parameters and setting various thresholds.
- Test the reproducibility of results.

The topics in this section will help you to understand the metrics output by the Cognex ViDi Tools tools:

- Score histogram
- Receiver Operating Characteristic (ROC) Curve and Area Under the Curve (AUC)
- Confusion Matrix
- Accuracy, Precision, Recall and F-Score