# Evaluating Results from Red Analyze

For the Red Analyze tool , once the tool has been trained, results will be displayed on the Database Overview pane in graphs and confusion matrix forms, depending on the tool's Mode - Supervised (Red Analyze Focused Supervised, Red Analyze High Detail) or Unsupervised (Red Analyze Focused Unsupervised).

Red Analyze uses the following metrics outputs:

- Score Histogram

- Receiver Operating Characteristic (ROC) Curve and Area Under the Curve (AUC)

- Confusion Matrix (Precision, Recall and F-Score)

- Region Area Metrics (Precision, Recall and F-Score)

  The Region Area Metrics return data about the Recall, Precision and F-Score of the currently trained tool. Recall refers to how likely the tool is to find a defect in a given image; Precision is how likely the tool is to find a defect where there is an actual defect; and F-Score is average of Recall and Precision. Note that these 3 metrics on Region Area Metrics are calculated in pixels whereas the F1 Score of confusion matrix is calculated in a different way.

Note: Red Analyze Focused Unsupervised does not have Region Area Metrics ().