# Blue Read Tool – Confusion Matrix

The Confusion Matrix displayed with the Blue Read tool is a graphical representation of the Recall and Precision scores.

Good Performance | Poor Performance

The Blue Read tool interprets Recall, Precision and F-Score as follows:

- Recall: the percentage of labeled features that are correctly identified by the tool.

  For example, a Recall score of 90% for character “A” means that the network correctly identifies an “A” 9 out of 10 times.

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  Labeled Image | Trained Neural Network Recall Results

- ​Precision: the percentage of detected features that match the labeled features

  For example, a Precision score of 90% for character “A” means that the network will identify something in the image that is not an “A” 10% of the time.

  Labeled Image | Trained Neural Network Precision Results

- F-Score: the average between the Precision and Recall scores.​​

Note:

If possible, the use of a model may help filter out spurious matches. When using a model, a low Precision score can be less problematic.

No model | Model in use