# Statistical Results Calculation Examples

You can manually calculate the same values as the ones in the Confusion Matrix table using the Display Filter.

| Predicted Class
Bauble | Beef | Grizzly | Key | Nuts
Actual Class | Bauble | 18 | 2 | 2 | 2 |
Beef |  | 23 |  |  | 1
Grizzly |  |  | 24 |  |
Key | 6 |  |  | 18 |
Nuts |  | 2 |  |  | 22

- Precision calculation example for the class "Beef" using Display Filter syntax:

  - True Positives: best_tag='Beef' and tag![name='Beef'] and not trained

  - False Positives: best_tag='Beef' and tag![name!='Beef'] and not trained

  - Precision = True Positives / (True Positives + False Positives)

- Recall calculation example for the class "Beef" (Display Filter Syntax)

  - True Positives: best_tag='Beef' and tag![name='Beef'] and not trained

  - False Negatives: best_tag!='Beef' and tag![name='Beef'] and not trained

  - Recall = True Positives / (True Positives + False Negatives)

- F-Score calculation example for the class "Beef"